awesome-llm-and-aigc

🚀🚀🚀A collection of some wesome public projects about Large Language Model(LLM), Vision Language Model(VLM), Vision Language Action(VLA), AI Generated Content(AIGC), the related Datasets and Applications.
https://github.com/coderonion/awesome-llm-and-aigc

Last synced: about 17 hours ago
JSON representation

Blogs
- 数据集
Summary
- Llama 2 - Tuned Chat Models". (**[ai.meta.com, 2023-07-18](https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/)**). (**[2023-07-18, Llama 2 is here - get it on Hugging Face](https://huggingface.co/blog/llama2)**).
- Visual ChatGPT - chatgpt?style=social"/> : Visual ChatGPT connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting. "Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models". (**[arXiv 2023](https://arxiv.org/abs/2303.04671)**).
- MOSS - source tool-augmented conversational language model from Fudan University. MOSS是一个支持中英双语和多种插件的开源对话语言模型，moss-moon系列模型具有160亿参数，在FP16精度下可在单张A100/A800或两张3090显卡运行，在INT4/8精度下可在单张3090显卡运行。MOSS基座语言模型在约七千亿中英文以及代码单词上预训练得到，后续经过对话指令微调、插件增强学习和人类偏好训练具备多轮对话能力及使用多种插件的能力。[txsun1997.github.io/blogs/moss.html](https://txsun1997.github.io/blogs/moss.html)
- PandasAI - ai?style=social"/> : Pandas AI is a Python library that adds generative artificial intelligence capabilities to Pandas, the popular data analysis and manipulation tool. It is designed to be used in conjunction with Pandas, and is not a replacement for it.
- wangzhaode/ChatGLM-MNN - MNN?style=social"/> : Pure C++, Easy Deploy ChatGLM-6B.
- Video-LLaVA - YuanGroup/Video-LLaVA?style=social"/> : "Video-LLaVA: Learning United Visual Representation by Alignment Before Projection". (**[EMNLP 2024](https://arxiv.org/pdf/2311.10122.pdf)**).
- unsloth - R1 & Reasoning LLMs 2x faster with 70% less memory. [unsloth.ai](https://unsloth.ai/)
- KTransformers - ai/ktransformers?style=social"/> : A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations. [kvcache-ai.github.io/ktransformers/](https://kvcache-ai.github.io/ktransformers/)
- GPUStack - source GPU cluster manager for running AI models. Manage GPU clusters for running AI models. [gpustack.ai](https://gpustack.ai/)
- FlashInfer - ai/flashinfer?style=social"/> : FlashInfer: Kernel Library for LLM Serving . [flashinfer.ai](flashinfer.ai)
- MiniMind - parameter GPT from scratch in just 2h! [jingyaogong.github.io/minimind](https://jingyaogong.github.io/minimind)
- MiniMind-V - v?style=social"/> : 🚀 「大模型」3小时从0训练27M参数的视觉多模态VLM！🌏 Train a 27M-parameter VLM from scratch in just 3 hours! [jingyaogong.github.io/minimind-v](https://jingyaogong.github.io/minimind-v)
- FlagGems - performance general operator library implemented in [OpenAI Triton](https://github.com/openai/triton). It aims to provide a suite of kernel functions to accelerate LLM training and inference.
- Qwen2.5
- 商汤科技-日日新SenseNova
- Qwen2-VL - VL?style=social"/> : Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud. "Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution". (**[arXiv 2024](https://arxiv.org/abs/2409.12191)**).
- NVILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops). "NVILA: Efficient Frontier Visual Language Models". (**[arXiv 2024](https://arxiv.org/abs/2412.04468)**).
- CLIP - Image Pretraining), Predict the most relevant text snippet given an image. "Learning Transferable Visual Models From Natural Language Supervision". (**[arXiv 2021](https://arxiv.org/abs/2103.00020)**).
- 百度智能云-千帆大模型
- FlagPerf - source software platform for benchmarking AI chips. FlagPerf是智源研究院联合AI硬件厂商共建的一体化AI硬件评测引擎，旨在建立以产业实践为导向的指标体系，评测AI硬件在软件栈组合（模型+框架+编译器）下的实际能力。
- MooreThreads/vllm_musa - throughput and memory-efficient inference and serving engine for LLMs. [docs.vllm.ai](https://docs.vllm.ai/)
- karpathy/nn-zero-to-hero - zero-to-hero?style=social"/> : Neural Networks: Zero to Hero. A course on neural networks that starts all the way at the basics. The course is a series of YouTube videos where we code and train neural networks together. The Jupyter notebooks we build in the videos are then captured here inside the [lectures](https://github.com/karpathy/nn-zero-to-hero/blob/master/lectures) directory. Every lecture also has a set of exercises included in the video description.
- wdndev/tiny-llm-zh - llm-zh?style=social"/> : 从零实现一个小参数量中文大语言模型。
- wdndev/tiny-rag - rag?style=social"/> : 实现一个很小很小的RAG系统。
- wdndev/llama3-from-scratch-zh - from-scratch-zh?style=social"/> : 从零实现一个 llama3 中文版。
- wdndev/llm101n-zh - zh?style=social"/> : 中文版 LLM101n 课程。
- DeepScaleR - project/deepscaler?style=social"/> : Democratizing Reinforcement Learning for LLMs. [www.agentica-project.com](https://www.agentica-project.com/). ["DeepScaleR: Surpassing O1-Preview with a 1.5B Model by Scaling RL"](https://pretty-radio-b75.notion.site/DeepScaleR-Surpassing-O1-Preview-with-a-1-5B-Model-by-Scaling-RL-19681902c1468005bed8ca303013a4e2)
- Burn - rs/burn?style=social"/> : Burn - A Flexible and Comprehensive Deep Learning Framework in Rust. [burn-rs.github.io/](https://burn-rs.github.io/)
- go-skynet/LocalAI - skynet/LocalAI?style=social"/> : 🤖 Self-hosted, community-driven, local OpenAI-compatible API. Drop-in replacement for OpenAI running LLMs on consumer-grade hardware. Free Open Source OpenAI alternative. No GPU required. LocalAI is an API to run ggml compatible models: llama, gpt4all, rwkv, whisper, vicuna, koala, gpt4all-j, cerebras, falcon, dolly, starcoder, and many other. [localai.io](https://localai.io/)
- imaurer/awesome-decentralized-llm - decentralized-llm?style=social"/> : Repos and resources for running LLMs locally. (e.g. LLaMA, Cerebras, RWKV).
- Firefly
- Claude - generation AI assistant based on Anthropic’s research into training helpful, honest, and harmless AI systems.
- ChatALL
- FreedomIntelligence/LLMZoo
- shm007g/LLaMA-Cult-and-More - Cult-and-More?style=social"/> : News about 🦙 Cult and other AIGC models.
- X-PLUG/mPLUG-Owl - PLUG/mPLUG-Owl?style=social"/> : mPLUG-Owl🦉: Modularization Empowers Large Language Models with Multimodality.
- i-Code - Code?style=social"/> : The ambition of the i-Code project is to build integrative and composable multimodal Artificial Intelligence. The "i" stands for integrative multimodal learning. "CoDi: Any-to-Any Generation via Composable Diffusion". (**[arXiv 2023](https://arxiv.org/abs/2305.11846)**).
- GPT4All - ai/gpt4all?style=social"/> : GPT4All: An ecosystem of open-source on-edge large language models. GTP4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs.
- WorkGPT
- h2oGPT - openpm/workgpt?style=social"/> : h2oGPT is a large language model (LLM) fine-tuning framework and chatbot UI with document(s) question-answer capabilities. "h2oGPT: Democratizing Large Language Models". (**[arXiv 2023](https://arxiv.org/abs/2306.08161)**).
- LongLLaMA - tuned with the Focused Transformer (FoT) method.
- LLaMA-Adapter - Adapter?style=social"/> : Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters. LLaMA-Adapter: Efficient Fine-tuning of LLaMA 🚀
- DemoGPT - unsal/DemoGPT?style=social"/> : Create 🦜️🔗 LangChain apps by just using prompts with the power of Llama 2 🌟 Star to support our work! | 只需使用句子即可创建 LangChain 应用程序。给个star支持我们的工作吧！DemoGPT: Auto Gen-AI App Generator with the Power of Llama 2. ⚡ With just a prompt, you can create interactive Streamlit apps via 🦜️🔗 LangChain's transformative capabilities & Llama 2.⚡ [demogpt.io](https://www.demogpt.io/)
- cs.ubc.ca, 2018
- GPT-2 - 2?style=social"/> : "Language Models are Unsupervised Multitask Learners". (**[OpenAI blog, 2019](https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf)**). [Better language models and their implications](https://openai.com/research/better-language-models).
- GPT-3 - 3?style=social"/> : "GPT-3: Language Models are Few-Shot Learners". (**[arXiv 2020](https://arxiv.org/abs/2005.14165)**).
- arXiv 2022 - following)**).
- ChatGPT
- GPT-4 - 4 is OpenAI’s most advanced system, producing safer and more useful responses. "Sparks of Artificial General Intelligence: Early experiments with GPT-4". (**[arXiv 2023](https://arxiv.org/abs/2303.12712)**). "GPT-4 Architecture, Infrastructure, Training Dataset, Costs, Vision, MoE". (**[SemianAlysis, 2023](https://www.semianalysis.com/p/gpt-4-architecture-infrastructure)**).
- Llama 3 - llama/llama3?style=social"/> : The official Meta Llama 3 GitHub site.
- Gemma
- Transformer
- KAN - Arnold Networks". (**[arXiv 2024](https://arxiv.org/abs/2404.19756)**).
- Grok-1 - org/grok-1?style=social"/> : This repository contains JAX example code for loading and running the Grok-1 open-weights model.
- Whisper - purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. "Robust Speech Recognition via Large-Scale Weak Supervision". (**[arXiv 2022](https://arxiv.org/abs/2212.04356)**).
- StableLM - AI/StableLM?style=social"/> : StableLM: Stability AI Language Models.
- OpenChat - source Language Models with Imperfect Data. [huggingface.co/openchat/openchat](https://huggingface.co/openchat/openchat)
- JARVIS
- MiniGPT-4 - CAIR/MiniGPT-4?style=social"/> : MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models. [minigpt-4.github.io](https://minigpt-4.github.io/)
- minGPT - implementation of the OpenAI GPT (Generative Pretrained Transformer) training.
- nanoGPT - sized GPTs.
- Dolly - dolly-democratizing-magic-chatgpt-open-models.html)
- LMFlow - friendly, speedy and reliable, and accessible to the entire community. Large Language Model for All. [optimalscale.github.io/LMFlow/](https://optimalscale.github.io/LMFlow/)
- Transformer
- KAN - Arnold Networks". (**[arXiv 2024](https://arxiv.org/abs/2404.19756)**).
- GPT-2 - 2?style=social"/> : "Language Models are Unsupervised Multitask Learners". (**[OpenAI blog, 2019](https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf)**). [Better language models and their implications](https://openai.com/research/better-language-models).
- GPT-3 - 3?style=social"/> : "GPT-3: Language Models are Few-Shot Learners". (**[arXiv 2020](https://arxiv.org/abs/2005.14165)**).
- arXiv 2022 - following)**).
- ChatGPT
- GPT-4 - 4 is OpenAI’s most advanced system, producing safer and more useful responses. "Sparks of Artificial General Intelligence: Early experiments with GPT-4". (**[arXiv 2023](https://arxiv.org/abs/2303.12712)**). "GPT-4 Architecture, Infrastructure, Training Dataset, Costs, Vision, MoE". (**[SemianAlysis, 2023](https://www.semianalysis.com/p/gpt-4-architecture-infrastructure)**).
- Grok-1 - org/grok-1?style=social"/> : This repository contains JAX example code for loading and running the Grok-1 open-weights model.
- OpenChat - source Language Models with Imperfect Data. [huggingface.co/openchat/openchat](https://huggingface.co/openchat/openchat)
- StableLM - AI/StableLM?style=social"/> : StableLM: Stability AI Language Models.
- JARVIS
- MiniGPT-4 - CAIR/MiniGPT-4?style=social"/> : MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models. [minigpt-4.github.io](https://minigpt-4.github.io/)
- minGPT - implementation of the OpenAI GPT (Generative Pretrained Transformer) training.
- nanoGPT - sized GPTs.
- Dolly - dolly-democratizing-magic-chatgpt-open-models.html)
- LMFlow - friendly, speedy and reliable, and accessible to the entire community. Large Language Model for All. [optimalscale.github.io/LMFlow/](https://optimalscale.github.io/LMFlow/)
- Colossal-AI - AI: A Unified Deep Learning System For Large-Scale Parallel Training". (**[arXiv 2021](https://arxiv.org/abs/2110.14883)**).
- Lit-LLaMA - AI/lit-llama?style=social"/> : ⚡ Lit-LLaMA. Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
- Stanford Alpaca - lab/stanford_alpaca?style=social"/> : Stanford Alpaca: An Instruction-following LLaMA Model.
- GPT-4-LLM - Tuning-with-GPT-4/GPT-4-LLM?style=social"/> : "Instruction Tuning with GPT-4". (**[arXiv 2023](https://arxiv.org/abs/2304.03277)**). [instruction-tuning-with-gpt-4.github.io/](https://instruction-tuning-with-gpt-4.github.io/)
- feizc/Visual-LLaMA - LLaMA?style=social"/> : Open LLaMA Eyes to See the World. This project aims to optimize LLaMA model for visual information understanding like GPT-4 and further explore the potentional of large language model.
- GPT4All - ai/gpt4all?style=social"/> : GPT4All: An ecosystem of open-source on-edge large language models. GTP4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs.
- 1595901624/gpt-aggregated-edition - aggregated-edition?style=social"/> : 聚合ChatGPT官方版、ChatGPT免费版、文心一言、Poe、chatchat等多平台，支持自定义导入平台。
- FreedomIntelligence/LLMZoo
- shm007g/LLaMA-Cult-and-More - Cult-and-More?style=social"/> : News about 🦙 Cult and other AIGC models.
- 科大讯飞-星火认知大模型
- CrazyBoyM/llama3-Chinese-chat - Chinese-chat?style=social"/> : Llama3 中文版。
- InternImage - Scale Vision Foundation Models with Deformable Convolutions". (**[CVPR 2023](https://arxiv.org/abs/2211.05778)**).
- GLIPv2 - Language Understanding". (**[arXiv 2022](https://arxiv.org/abs/2206.05836)**).
- GPT-4-LLM - Tuning-with-GPT-4/GPT-4-LLM?style=social"/> : "Instruction Tuning with GPT-4". (**[arXiv 2023](https://arxiv.org/abs/2304.03277)**). [instruction-tuning-with-gpt-4.github.io/](https://instruction-tuning-with-gpt-4.github.io/)
- Stanford Alpaca - lab/stanford_alpaca?style=social"/> : Stanford Alpaca: An Instruction-following LLaMA Model.
- feizc/Visual-LLaMA - LLaMA?style=social"/> : Open LLaMA Eyes to See the World. This project aims to optimize LLaMA model for visual information understanding like GPT-4 and further explore the potentional of large language model.
- X-PLUG/mPLUG-Owl - PLUG/mPLUG-Owl?style=social"/> : mPLUG-Owl🦉: Modularization Empowers Large Language Models with Multimodality.
- i-Code - Code?style=social"/> : The ambition of the i-Code project is to build integrative and composable multimodal Artificial Intelligence. The "i" stands for integrative multimodal learning. "CoDi: Any-to-Any Generation via Composable Diffusion". (**[arXiv 2023](https://arxiv.org/abs/2305.11846)**).
- WorkGPT
- h2oGPT - openpm/workgpt?style=social"/> : h2oGPT is a large language model (LLM) fine-tuning framework and chatbot UI with document(s) question-answer capabilities. "h2oGPT: Democratizing Large Language Models". (**[arXiv 2023](https://arxiv.org/abs/2306.08161)**).
- LongLLaMA - tuned with the Focused Transformer (FoT) method.
- LLaMA-Adapter - Adapter?style=social"/> : Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters. LLaMA-Adapter: Efficient Fine-tuning of LLaMA 🚀
- DemoGPT - unsal/DemoGPT?style=social"/> : Create 🦜️🔗 LangChain apps by just using prompts with the power of Llama 2 🌟 Star to support our work! | 只需使用句子即可创建 LangChain 应用程序。给个star支持我们的工作吧！DemoGPT: Auto Gen-AI App Generator with the Power of Llama 2. ⚡ With just a prompt, you can create interactive Streamlit apps via 🦜️🔗 LangChain's transformative capabilities & Llama 2.⚡ [demogpt.io](https://www.demogpt.io/)
- Lamini - ai/lamini?style=social"/> : The Official Python Client for Lamini's API. [lamini.ai/](https://lamini.ai/)
- xorbitsai/inference
- epfLLM/Megatron-LLM - LLM?style=social"/> : distributed trainer for LLMs.
- 华为云-盘古大模型 - how与大模型能力相结合，重塑千行百业，成为各组织、企业、个人的专家助手。"Accurate medium-range global weather forecasting with 3D neural networks". (**[Nature 2023](https://www.nature.com/articles/s41586-023-06185-3)**).
- xorbitsai/inference
- epfLLM/Megatron-LLM - LLM?style=social"/> : distributed trainer for LLMs.
- AmineDiro/cria - 2 model.
- Llama-2-Onnx - 2-Onnx?style=social"/> : Llama 2 Powered By ONNX.
- gpt-llm-trainer - llm-trainer?style=social"/> : The goal of this project is to explore an experimental new pipeline to train a high-performing task-specific model. We try to abstract away all the complexity, so it's as easy as possible to go from idea -> performant fully-trained model.
- Qwen（通义千问）
- ChatGLM2-6B - 6B?style=social"/> : ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型。ChatGLM2-6B 是开源中英双语对话模型 ChatGLM-6B 的第二代版本，在保留了初代模型对话流畅、部署门槛较低等众多优秀特性的基础之上，ChatGLM2-6B 引入了更强大的性能、更强大的性能、更高效的推理、更开放的协议。
- ChatGLM3
- InternLM（书生·浦语） - ai.org.cn/](https://internlm.intern-ai.org.cn/)
- AmineDiro/cria - 2 model.
- Llama-2-Onnx - 2-Onnx?style=social"/> : Llama 2 Powered By ONNX.
- gpt-llm-trainer - llm-trainer?style=social"/> : The goal of this project is to explore an experimental new pipeline to train a high-performing task-specific model. We try to abstract away all the complexity, so it's as easy as possible to go from idea -> performant fully-trained model.
- Qwen（通义千问）
- ChatGLM-6B - 6B?style=social"/> : ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型。 ChatGLM-6B 是一个开源的、支持中英双语的对话语言模型，基于 [General Language Model (GLM)](https://github.com/THUDM/GLM) 架构，具有 62 亿参数。 "GLM: General Language Model Pretraining with Autoregressive Blank Infilling". (**[ACL 2022](https://aclanthology.org/2022.acl-long.26/)**). "GLM-130B: An Open Bilingual Pre-trained Model". (**[ICLR 2023](https://openreview.net/forum?id=-Aw0rrrPUF)**).
- ChatGLM2-6B - 6B?style=social"/> : ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型。ChatGLM2-6B 是开源中英双语对话模型 ChatGLM-6B 的第二代版本，在保留了初代模型对话流畅、部署门槛较低等众多优秀特性的基础之上，ChatGLM2-6B 引入了更强大的性能、更强大的性能、更高效的推理、更开放的协议。
- ChatGLM3
- InternLM（书生·浦语） - ai.org.cn/](https://internlm.intern-ai.org.cn/)
- Baichuan-7B（百川-7B） - inc/Baichuan-7B?style=social"/> : A large-scale 7B pretraining language model developed by BaiChuan-Inc. Baichuan-7B 是由百川智能开发的一个开源可商用的大规模预训练语言模型。基于 Transformer 结构，在大约 1.2 万亿 tokens 上训练的 70 亿参数模型，支持中英双语，上下文窗口长度为 4096。在标准的中文和英文 benchmark（C-Eval/MMLU）上均取得同尺寸最好的效果。[huggingface.co/baichuan-inc/baichuan-7B](https://huggingface.co/baichuan-inc/Baichuan-7B)
- Baichuan-13B（百川-13B） - inc/Baichuan-13B?style=social"/> : A 13B large language model developed by Baichuan Intelligent Technology. Baichuan-13B 是由百川智能继 Baichuan-7B 之后开发的包含 130 亿参数的开源可商用的大规模语言模型，在权威的中文和英文 benchmark 上均取得同尺寸最好的效果。本次发布包含有预训练 (Baichuan-13B-Base) 和对齐 (Baichuan-13B-Chat) 两个版本。[huggingface.co/baichuan-inc/Baichuan-13B-Chat](https://huggingface.co/baichuan-inc/Baichuan-13B-Chat)
- Baichuan-7B（百川-7B） - inc/Baichuan-7B?style=social"/> : A large-scale 7B pretraining language model developed by BaiChuan-Inc. Baichuan-7B 是由百川智能开发的一个开源可商用的大规模预训练语言模型。基于 Transformer 结构，在大约 1.2 万亿 tokens 上训练的 70 亿参数模型，支持中英双语，上下文窗口长度为 4096。在标准的中文和英文 benchmark（C-Eval/MMLU）上均取得同尺寸最好的效果。[huggingface.co/baichuan-inc/baichuan-7B](https://huggingface.co/baichuan-inc/Baichuan-7B)
- Baichuan-13B（百川-13B） - inc/Baichuan-13B?style=social"/> : A 13B large language model developed by Baichuan Intelligent Technology. Baichuan-13B 是由百川智能继 Baichuan-7B 之后开发的包含 130 亿参数的开源可商用的大规模语言模型，在权威的中文和英文 benchmark 上均取得同尺寸最好的效果。本次发布包含有预训练 (Baichuan-13B-Base) 和对齐 (Baichuan-13B-Chat) 两个版本。[huggingface.co/baichuan-inc/Baichuan-13B-Chat](https://huggingface.co/baichuan-inc/Baichuan-13B-Chat)
- Baichuan2 - inc/Baichuan2?style=social"/> : A series of large language models developed by Baichuan Intelligent Technology. Baichuan 2 是百川智能推出的新一代开源大语言模型，采用 2.6 万亿 Tokens 的高质量语料训练。Baichuan 2 在多个权威的中文、英文和多语言的通用、领域 benchmark 上取得同尺寸最佳的效果。本次发布包含有 7B、13B 的 Base 和 Chat 版本，并提供了 Chat 版本的 4bits 量化。[huggingface.co/baichuan-inc](https://huggingface.co/baichuan-inc). "Baichuan 2: Open Large-scale Language Models". (**[arXiv 2023](https://arxiv.org/abs/2309.10305)**).
- Baichuan2 - inc/Baichuan2?style=social"/> : A series of large language models developed by Baichuan Intelligent Technology. Baichuan 2 是百川智能推出的新一代开源大语言模型，采用 2.6 万亿 Tokens 的高质量语料训练。Baichuan 2 在多个权威的中文、英文和多语言的通用、领域 benchmark 上取得同尺寸最佳的效果。本次发布包含有 7B、13B 的 Base 和 Chat 版本，并提供了 Chat 版本的 4bits 量化。[huggingface.co/baichuan-inc](https://huggingface.co/baichuan-inc). "Baichuan 2: Open Large-scale Language Models". (**[arXiv 2023](https://arxiv.org/abs/2309.10305)**).
- BayLing（百聆） - turn interaction. [nlp.ict.ac.cn/bayling](http://nlp.ict.ac.cn/bayling). "BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models". (**[arXiv 2023](https://arxiv.org/abs/2306.10968)**).
- FlagAI（悟道·天鹰（Aquila）） - Open/FlagAI?style=social"/> : FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. Our goal is to support training, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality.
- BayLing（百聆） - turn interaction. [nlp.ict.ac.cn/bayling](http://nlp.ict.ac.cn/bayling). "BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models". (**[arXiv 2023](https://arxiv.org/abs/2306.10968)**).
- FlagAI（悟道·天鹰（Aquila）） - Open/FlagAI?style=social"/> : FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. Our goal is to support training, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality.
- michael-wzhu/Chinese-LlaMA2 - wzhu/Chinese-LlaMA2?style=social"/> : Repo for adapting Meta LlaMA2 in Chinese! META最新发布的LlaMA2的汉化版！（完全开源可商用）
- CPM-Bee - Bee?style=social"/> : CPM-Bee是一个完全开源、允许商用的百亿参数中英文基座模型，也是[CPM-Live](https://live.openbmb.org/)训练的第二个里程碑。
- Yi-1.5 - ai/Yi-1.5?style=social"/> : Yi-1.5 is an upgraded version of Yi, delivering stronger performance in coding, math, reasoning, and instruction-following capability.
- 智海-录问 - 录问(wisdomInterrogatory)是由浙江大学、阿里巴巴达摩院以及华院计算三家单位共同设计研发的法律大模型。核心思想：以“普法共享和司法效能提升”为目标，从推动法律智能化体系入司法实践、数字化案例建设、虚拟法律咨询服务赋能等方面提供支持，形成数字化和智能化的司法基座能力。
- 活字 - SCIR/huozi?style=social"/> : 活字是由哈工大自然语言处理研究所多位老师和学生参与开发的一个开源可商用的大规模预训练语言模型。该模型基于 Bloom 结构的70 亿参数模型，支持中英双语，上下文窗口长度为 2048。在标准的中文和英文基准以及主观评测上均取得同尺寸中优异的结果。
- MiLM-6B - 6B?style=social"/> : MiLM-6B 是由小米开发的一个大规模预训练语言模型，参数规模为64亿。在 C-Eval 和 CMMLU 上均取得同尺寸最好的效果。
- Chinese LLaMA and Alpaca - LLaMA-Alpaca?style=social"/> : 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)。"Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca". (**[arXiv 2023](https://arxiv.org/abs/2304.08177)**).
- Chinese-LLaMA-Alpaca-2 - LLaMA-Alpaca-2?style=social"/> : 中文 LLaMA-2 & Alpaca-2 大模型二期项目 (Chinese LLaMA-2 & Alpaca-2 LLMs).
- PandaLM
- CPM-Bee - Bee?style=social"/> : CPM-Bee是一个完全开源、允许商用的百亿参数中英文基座模型，也是[CPM-Live](https://live.openbmb.org/)训练的第二个里程碑。
- SpeechGPT - Modal Conversational Abilities". (**[arXiv 2023](https://arxiv.org/abs/2305.11000)**).
- GPT2-Chinese - Chinese?style=social"/> : Chinese version of GPT2 training code, using BERT tokenizer.
- Chinese-Tiny-LLM - Tiny-LLM/Chinese-Tiny-LLM?style=social"/> : "Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model". (**[arXiv 2024](https://arxiv.org/abs/2404.04167)**).
- 潘多拉 (Pandora)
- 百度-文心大模型
- 华为云-盘古大模型 - how与大模型能力相结合，重塑千行百业，成为各组织、企业、个人的专家助手。"Accurate medium-range global weather forecasting with 3D neural networks". (**[Nature 2023](https://www.nature.com/articles/s41586-023-06185-3)**).
- 科大讯飞-星火认知大模型
- 智海-录问 - 录问(wisdomInterrogatory)是由浙江大学、阿里巴巴达摩院以及华院计算三家单位共同设计研发的法律大模型。核心思想：以“普法共享和司法效能提升”为目标，从推动法律智能化体系入司法实践、数字化案例建设、虚拟法律咨询服务赋能等方面提供支持，形成数字化和智能化的司法基座能力。
- 活字 - SCIR/huozi?style=social"/> : 活字是由哈工大自然语言处理研究所多位老师和学生参与开发的一个开源可商用的大规模预训练语言模型。该模型基于 Bloom 结构的70 亿参数模型，支持中英双语，上下文窗口长度为 2048。在标准的中文和英文基准以及主观评测上均取得同尺寸中优异的结果。
- MiLM-6B - 6B?style=social"/> : MiLM-6B 是由小米开发的一个大规模预训练语言模型，参数规模为64亿。在 C-Eval 和 CMMLU 上均取得同尺寸最好的效果。
- Chinese LLaMA and Alpaca - LLaMA-Alpaca?style=social"/> : 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)。"Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca". (**[arXiv 2023](https://arxiv.org/abs/2304.08177)**).
- Chinese-LLaMA-Alpaca-2 - LLaMA-Alpaca-2?style=social"/> : 中文 LLaMA-2 & Alpaca-2 大模型二期项目 (Chinese LLaMA-2 & Alpaca-2 LLMs).
- michael-wzhu/Chinese-LlaMA2 - wzhu/Chinese-LlaMA2?style=social"/> : Repo for adapting Meta LlaMA2 in Chinese! META最新发布的LlaMA2的汉化版！（完全开源可商用）
- CrazyBoyM/llama3-Chinese-chat - Chinese-chat?style=social"/> : Llama3 中文版。
- SpeechGPT - Modal Conversational Abilities". (**[arXiv 2023](https://arxiv.org/abs/2305.11000)**).
- GPT2-Chinese - Chinese?style=social"/> : Chinese version of GPT2 training code, using BERT tokenizer.
- Chinese-Tiny-LLM - Tiny-LLM/Chinese-Tiny-LLM?style=social"/> : "Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model". (**[arXiv 2024](https://arxiv.org/abs/2404.04167)**).
- 潘多拉 (Pandora)
- 百度-文心大模型
- Jasper - brand AI content wherever you create.
- Copy.ai
- ChatPPT
- LangChain
- AutoChain - Technologies/AutoChain?style=social"/> : AutoChain: Build lightweight, extensible, and testable LLM Agents. [autochain.forethought.ai](https://autochain.forethought.ai/)
- SEEM - Decoder/Segment-Everything-Everywhere-All-At-Once?style=social"/> : We introduce SEEM that can Segment Everything Everywhere with Multi-modal prompts all at once. SEEM allows users to easily segment an image using prompts of different types including visual prompts (points, marks, boxes, scribbles and image segments) and language prompts (text and audio), etc. It can also work with any combinations of prompts or generalize to custom prompts! "Segment Everything Everywhere All at Once". (**[arXiv 2023](https://arxiv.org/abs/2304.06718)**).
- SAM3D - Shot 3D Object Detection via [Segment Anything](https://github.com/facebookresearch/segment-anything) Model". (**[arXiv 2023](https://arxiv.org/abs/2306.02245)**).
- qianqianwang68/omnimotion
- InternImage - Scale Vision Foundation Models with Deformable Convolutions". (**[CVPR 2023](https://arxiv.org/abs/2211.05778)**).
- GLIP - Image Pre-training". (**[CVPR 2022](https://arxiv.org/abs/2112.03857)**).
- SAM - anything?style=social"/> : The repository provides code for running inference with the Segment Anything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. "Segment Anything". (**[arXiv 2023](https://arxiv.org/abs/2304.02643)**).
- Grounded-SAM - Research/Grounded-Segment-Anything?style=social"/> : Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs. We plan to create a very interesting demo by combining [Grounding DINO](https://github.com/IDEA-Research/GroundingDINO) and [Segment Anything](https://github.com/facebookresearch/segment-anything) which aims to detect and segment Anything with text inputs!
- LLaVA - liu/LLaVA?style=social"/> : 🌋 LLaVA: Large Language and Vision Assistant. Visual instruction tuning towards large language and vision models with GPT-4 level capabilities. [llava.hliu.cc](https://llava.hliu.cc/). "Visual Instruction Tuning". (**[arXiv 2023](https://arxiv.org/abs/2304.08485)**).
- DINO - Research/DINO?style=social"/> : "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection". (**[ICLR 2023](https://arxiv.org/abs/2203.03605)**).
- DINOv2
- Grounding DINO - Research/GroundingDINO?style=social"/> : "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection". (**[arXiv 2023](https://arxiv.org/abs/2303.05499)**). "知乎「三分钟热度」《[十分钟解读Grounding DINO-根据文字提示检测任意目标](https://zhuanlan.zhihu.com/p/627646794)》"。
- SAM - anything?style=social"/> : The repository provides code for running inference with the Segment Anything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. "Segment Anything". (**[arXiv 2023](https://arxiv.org/abs/2304.02643)**).
- Grounded-SAM - Research/Grounded-Segment-Anything?style=social"/> : Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs. We plan to create a very interesting demo by combining [Grounding DINO](https://github.com/IDEA-Research/GroundingDINO) and [Segment Anything](https://github.com/facebookresearch/segment-anything) which aims to detect and segment Anything with text inputs!
- SEEM - Decoder/Segment-Everything-Everywhere-All-At-Once?style=social"/> : We introduce SEEM that can Segment Everything Everywhere with Multi-modal prompts all at once. SEEM allows users to easily segment an image using prompts of different types including visual prompts (points, marks, boxes, scribbles and image segments) and language prompts (text and audio), etc. It can also work with any combinations of prompts or generalize to custom prompts! "Segment Everything Everywhere All at Once". (**[arXiv 2023](https://arxiv.org/abs/2304.06718)**).
- SAM3D - Shot 3D Object Detection via [Segment Anything](https://github.com/facebookresearch/segment-anything) Model". (**[arXiv 2023](https://arxiv.org/abs/2306.02245)**).
- ImageBind
- Track-Anything - Anything?style=social"/> : Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI. "Track Anything: Segment Anything Meets Videos". (**[arXiv 2023](https://arxiv.org/abs/2304.11968)**).
- qianqianwang68/omnimotion
- LLaVA - liu/LLaVA?style=social"/> : 🌋 LLaVA: Large Language and Vision Assistant. Visual instruction tuning towards large language and vision models with GPT-4 level capabilities. [llava.hliu.cc](https://llava.hliu.cc/). "Visual Instruction Tuning". (**[arXiv 2023](https://arxiv.org/abs/2304.08485)**).
- M3I-Pretraining - Pretraining?style=social"/> : "Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information". (**[arXiv 2022](https://arxiv.org/abs/2211.09807)**).
- Label Anything - mmlab/playground?style=social"/> : OpenMMLab PlayGround: Semi-Automated Annotation with Label-Studio and SAM.
- M3I-Pretraining - Pretraining?style=social"/> : "Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information". (**[arXiv 2022](https://arxiv.org/abs/2211.09807)**).
- BEVFormer - edge Baseline for Camera-based Detection. "BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers". (**[arXiv 2022](https://arxiv.org/abs/2203.17270)**).
- Uni-Perceiver - Perceiver?style=social"/> : "Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Zhu_Uni-Perceiver_Pre-Training_Unified_Architecture_for_Generic_Perception_for_Zero-Shot_and_CVPR_2022_paper.html)**).
- RevCol - research/RevCol?style=social"/> : "Reversible Column Networks". (**[arXiv 2023](https://arxiv.org/abs/2212.11696)**).
- Macaw-LLM - LLM?style=social"/> : Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.
- SAM-PT - pt?style=social"/> : SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking. "Segment Anything Meets Point Tracking". (**[arXiv 2023](https://arxiv.org/abs/2307.01197)**).
- BEVFormer - edge Baseline for Camera-based Detection. "BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers". (**[arXiv 2022](https://arxiv.org/abs/2203.17270)**).
- Uni-Perceiver - Perceiver?style=social"/> : "Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Zhu_Uni-Perceiver_Pre-Training_Unified_Architecture_for_Generic_Perception_for_Zero-Shot_and_CVPR_2022_paper.html)**).
- AnyLabeling
- Label Anything - mmlab/playground?style=social"/> : OpenMMLab PlayGround: Semi-Automated Annotation with Label-Studio and SAM.
- RevCol - research/RevCol?style=social"/> : "Reversible Column Networks". (**[arXiv 2023](https://arxiv.org/abs/2212.11696)**).
- Macaw-LLM - LLM?style=social"/> : Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.
- SAM-PT - pt?style=social"/> : SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking. "Segment Anything Meets Point Tracking". (**[arXiv 2023](https://arxiv.org/abs/2307.01197)**).
- Open Sora Plan - YuanGroup/Open-Sora-Plan?style=social"/> : This project aim to reproducing [Sora](https://openai.com/sora) (Open AI T2V model), but we only have limited resource. We deeply wish the all open source community can contribute to this project. 本项目希望通过开源社区的力量复现Sora，由北大-兔展AIGC联合实验室共同发起，当前我们资源有限仅搭建了基础架构，无法进行完整训练，希望通过开源社区逐步增加模块并筹集资源进行训练，当前版本离目标差距巨大，仍需持续完善和快速迭代，欢迎Pull request！！！[Project Page](https://pku-yuangroup.github.io/Open-Sora-Plan/) [中文主页](https://pku-yuangroup.github.io/Open-Sora-Plan/blog_cn.html)
- Video-LLaMA - NLP-SG/Video-LLaMA?style=social"/> : "Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding". (**[arXiv 2023](https://arxiv.org/abs/2306.02858)**).
- MobileSAM
- BuboGPT - research/bubogpt?style=social"/> : "BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs". (**[arXiv 2023](https://arxiv.org/abs/2307.08581)**).
- Sora
- Mini Sora - sora/minisora?style=social"/> : The Mini Sora project aims to explore the implementation path and future development direction of Sora.
- Video-LLaMA - NLP-SG/Video-LLaMA?style=social"/> : "Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding". (**[arXiv 2023](https://arxiv.org/abs/2306.02858)**).
- MobileSAM
- BuboGPT - research/bubogpt?style=social"/> : "BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs". (**[arXiv 2023](https://arxiv.org/abs/2307.08581)**).
- Sora
- Open Sora Plan - YuanGroup/Open-Sora-Plan?style=social"/> : This project aim to reproducing [Sora](https://openai.com/sora) (Open AI T2V model), but we only have limited resource. We deeply wish the all open source community can contribute to this project. 本项目希望通过开源社区的力量复现Sora，由北大-兔展AIGC联合实验室共同发起，当前我们资源有限仅搭建了基础架构，无法进行完整训练，希望通过开源社区逐步增加模块并筹集资源进行训练，当前版本离目标差距巨大，仍需持续完善和快速迭代，欢迎Pull request！！！[Project Page](https://pku-yuangroup.github.io/Open-Sora-Plan/) [中文主页](https://pku-yuangroup.github.io/Open-Sora-Plan/blog_cn.html)
- Mini Sora - sora/minisora?style=social"/> : The Mini Sora project aims to explore the implementation path and future development direction of Sora.
- EMO - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions". (**[arXiv 2024](https://arxiv.org/abs/2402.17485)**).
- Stable Diffusion - diffusion?style=social"/> : Stable Diffusion is a latent text-to-image diffusion model. Stable Diffusion was made possible thanks to a collaboration with [Stability AI](https://stability.ai/) and [Runway](https://runwayml.com/) and builds upon our previous work "High-Resolution Image Synthesis with Latent Diffusion Models". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.html)**).
- Stable Diffusion Version 2 - AI/stablediffusion?style=social"/> : This repository contains [Stable Diffusion](https://github.com/CompVis/stable-diffusion) models trained from scratch and will be continuously updated with new checkpoints. "High-Resolution Image Synthesis with Latent Diffusion Models". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.html)**).
- StableStudio - AI/StableStudio?style=social"/> : StableStudio by [Stability AI](https://stability.ai/). 👋 Welcome to the community repository for StableStudio, the open-source version of [DreamStudio](https://dreamstudio.ai/).
- AudioCraft - of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
- DragGAN - inf.mpg.de/projects/DragGAN/)**).
- AudioGPT - Audio/AudioGPT?style=social"/> : AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head.
- EMO - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions". (**[arXiv 2024](https://arxiv.org/abs/2402.17485)**).
- Stable Diffusion - diffusion?style=social"/> : Stable Diffusion is a latent text-to-image diffusion model. Stable Diffusion was made possible thanks to a collaboration with [Stability AI](https://stability.ai/) and [Runway](https://runwayml.com/) and builds upon our previous work "High-Resolution Image Synthesis with Latent Diffusion Models". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.html)**).
- Stable Diffusion Version 2 - AI/stablediffusion?style=social"/> : This repository contains [Stable Diffusion](https://github.com/CompVis/stable-diffusion) models trained from scratch and will be continuously updated with new checkpoints. "High-Resolution Image Synthesis with Latent Diffusion Models". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.html)**).
- StableStudio - AI/StableStudio?style=social"/> : StableStudio by [Stability AI](https://stability.ai/). 👋 Welcome to the community repository for StableStudio, the open-source version of [DreamStudio](https://dreamstudio.ai/).
- AudioCraft - of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
- InvokeAI - ai/InvokeAI?style=social"/> : Invoke AI - Generative AI for Professional Creatives. Professional Creative Tools for Stable Diffusion, Custom-Trained Models, and more. [invoke-ai.github.io/InvokeAI/](https://invoke-ai.github.io/InvokeAI/)
- AudioGPT - Audio/AudioGPT?style=social"/> : AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head.
- DragGAN - inf.mpg.de/projects/DragGAN/)**).
- mosaicml/diffusion
- ControlNet - to-Image Diffusion Models". (**[arXiv 2023](https://arxiv.org/abs/2302.05543)**).
- Fooocus
- MindDiffuser
- Midjourney
- DreamStudio
- mosaicml/diffusion
- ControlNet - to-Image Diffusion Models". (**[arXiv 2023](https://arxiv.org/abs/2302.05543)**).
- Fooocus
- MindDiffuser
- Midjourney
- DreamStudio
- Open-Assistant - AI/Open-Assistant?style=social"/> : OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. [open-assistant.io](https://open-assistant.io/)
- LLaMA-Factory - Factory?style=social"/> : Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024). "LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models". (**[arXiv 2024](https://arxiv.org/abs/2403.13372)**).
- LlamaIndex - llama/llama_index?style=social"/> : LlamaIndex is a data framework for your LLM applications. [docs.llamaindex.ai](https://docs.llamaindex.ai/)
- QAnything - youdao/QAnything?style=social"/> : Question and Answer based on Anything. [qanything.ai](https://qanything.ai/)
- ninehills/llm-inference-benchmark - inference-benchmark?style=social"/> : LLM Inference benchmark.
- MLC LLM - ai/mlc-llm?style=social"/> : Universal LLM Deployment Engine with ML Compilation. [llm.mlc.ai/](https://llm.mlc.ai/)
- datawhalechina/self-llm - llm?style=social"/> : 《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程。
- llm.c - 2 (CPU, fp32) is ~1,000 lines of clean code in a single file. It compiles and runs instantly, and exactly matches the PyTorch reference implementation.
- llama2.c - line C file (run.c).
- LLaMA-Factory - Factory?style=social"/> : Unify Efficient Fine-Tuning of 100+ LLMs. Fine-tuning a large language model can be easy as...
- Jasper - brand AI content wherever you create.
- Copy.ai
- Peppertype.ai - powered platform to ideate, create, distribute, and measure your content and prove your content marketing ROI.
- ChatPPT
- LangChain
- Dify - source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. [dify.ai](https://dify.ai/)
- AutoChain - Technologies/AutoChain?style=social"/> : AutoChain: Build lightweight, extensible, and testable LLM Agents. [autochain.forethought.ai](https://autochain.forethought.ai/)
- Open-Assistant - AI/Open-Assistant?style=social"/> : OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. [open-assistant.io](https://open-assistant.io/)
- LlamaIndex - llama/llama_index?style=social"/> : LlamaIndex is a data framework for your LLM applications. [docs.llamaindex.ai](https://docs.llamaindex.ai/)
- QAnything - youdao/QAnything?style=social"/> : Question and Answer based on Anything. [qanything.ai](https://qanything.ai/)
- R2R - AI/R2R?style=social"/> : A framework for rapid development and deployment of production-ready RAG systems. [docs.sciphi.ai](https://docs.sciphi.ai/)
- langchain-ai/rag-from-scratch - ai/rag-from-scratch?style=social"/> : Retrieval augmented generation (RAG) comes is a general methodology for connecting LLMs with external data sources. These notebooks accompany a video series will build up an understanding of RAG from scratch, starting with the basics of indexing, retrieval, and generation.
- vLLM - project/vllm?style=social"/> : A high-throughput and memory-efficient inference and serving engine for LLMs. [docs.vllm.ai](https://docs.vllm.ai/)
- ninehills/llm-inference-benchmark - inference-benchmark?style=social"/> : LLM Inference benchmark.
- csbench/csbench - Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery". (**[arXiv 2024](https://arxiv.org/abs/2406.08587)**).
- datawhalechina/self-llm - llm?style=social"/> : 《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程。
- MLC LLM - ai/mlc-llm?style=social"/> : Enable everyone to develop, optimize and deploy AI models natively on everyone's devices. [mlc.ai/mlc-llm](https://mlc.ai/mlc-llm/)
- llm.c - 2 (CPU, fp32) is ~1,000 lines of clean code in a single file. It compiles and runs instantly, and exactly matches the PyTorch reference implementation.
- llama2.c - line C file (run.c).
- TensorRT - performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. [developer.nvidia.com/tensorrt](https://developer.nvidia.com/tensorrt)
- TensorRT - performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. [developer.nvidia.com/tensorrt](https://developer.nvidia.com/tensorrt)
- TensorRT-LLM - LLM?style=social"/> : TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines. [nvidia.github.io/TensorRT-LLM](https://nvidia.github.io/TensorRT-LLM)
- gemma.cpp
- llama.cpp
- whisper.cpp - performance inference of [OpenAI's Whisper](https://github.com/openai/whisper) automatic speech recognition (ASR) model.
- MegEngine/InferLLM
- zjhellofss/KuiperInfer - performance deep learning inference library step by step。
- skeskinen/llama-lite - lite?style=social"/> : Embeddings focused small version of Llama NLP model.
- Const-me/Whisper - me/Whisper?style=social"/> : High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model.
- ztxz16/fastllm - 6B，MOSS; 可以在安卓设备上流畅运行ChatGLM-6B。
- davidar/eigenGPT
- Tlntin/Qwen-TensorRT-LLM - TensorRT-LLM?style=social"/> : 使用TRT-LLM完成对Qwen-7B-Chat实现推理加速。
- FeiGeChuanShu/trt2023 - 7B用TensorRT-LLM模型搭建及优化。
- TRT2022/trtllm-llama - llama?style=social"/> : ☢️ TensorRT 2023复赛——基于TensorRT-LLM的Llama模型推断加速优化。
- AmeyaWagh/llama2.cpp
- llama-cpp-python - cpp-python?style=social"/> : Python bindings for llama.cpp. [llama-cpp-python.readthedocs.io](https://llama-cpp-python.readthedocs.io/)
- ggml-python - python?style=social"/> : Python bindings for ggml. [ggml-python.readthedocs.io](https://ggml-python.readthedocs.io/)
- llama2.mojo
- dorjeduck/llm.mojo
- Tokenizers - of-the-Art Tokenizers optimized for Research and Production. [huggingface.co/docs/tokenizers](https://huggingface.co/docs/tokenizers/index)
- dfdx
- luminal
- crabml
- TensorFlow Rust
- tch-rs - rs?style=social"/> : Rust bindings for the C++ api of PyTorch.
- rustai-solutions/candle_demo_openchat_35 - solutions/candle_demo_openchat_35?style=social"/> : candle_demo_openchat_35.
- llama2.rs
- Llama2-burn - burn?style=social"/> : Llama2 LLM ported to Rust burn.
- gaxler/llama2.rs
- whisper-burn - burn?style=social"/> : A Rust implementation of OpenAI's Whisper model using the burn framework.
- stable-diffusion-burn - diffusion-burn?style=social"/> : Stable Diffusion v1.4 ported to Rust's burn framework.
- coreylowman/llama-dfdx - dfdx?style=social"/> : [LLaMa 7b](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) with CUDA acceleration implemented in rust. Minimal GPU memory needed!
- tazz4843/whisper-rs - rs?style=social"/> : Rust bindings to [whisper.cpp](https://github.com/ggerganov/whisper.cpp).
- rustformers/llm
- Chidori
- TensorRT-LLM - LLM?style=social"/> : TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines. [nvidia.github.io/TensorRT-LLM](https://nvidia.github.io/TensorRT-LLM)
- gemma.cpp
- llama.cpp
- whisper.cpp - performance inference of [OpenAI's Whisper](https://github.com/openai/whisper) automatic speech recognition (ASR) model.
- ChatGLM.cpp - plus/chatglm.cpp?style=social"/> : C++ implementation of [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) and [ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B).
- MegEngine/InferLLM
- zjhellofss/KuiperInfer (自制深度学习推理框架) - performance deep learning inference library step by step.
- skeskinen/llama-lite - lite?style=social"/> : Embeddings focused small version of Llama NLP model.
- Const-me/Whisper - me/Whisper?style=social"/> : High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model.
- ztxz16/fastllm - 6B，MOSS; 可以在安卓设备上流畅运行ChatGLM-6B。
- davidar/eigenGPT
- FeiGeChuanShu/trt2023 - 7B用TensorRT-LLM模型搭建及优化。
- TRT2022/trtllm-llama - llama?style=social"/> : ☢️ TensorRT 2023复赛——基于TensorRT-LLM的Llama模型推断加速优化。
- AmeyaWagh/llama2.cpp
- llama-cpp-python - cpp-python?style=social"/> : Python bindings for llama.cpp. [llama-cpp-python.readthedocs.io](https://llama-cpp-python.readthedocs.io/)
- ggml-python - python?style=social"/> : Python bindings for ggml. [ggml-python.readthedocs.io](https://ggml-python.readthedocs.io/)
- llama2.mojo
- dorjeduck/llm.mojo
- Candle
- Safetensors
- crabml
- Tokenizers - of-the-Art Tokenizers optimized for Research and Production. [huggingface.co/docs/tokenizers](https://huggingface.co/docs/tokenizers/index)
- dfdx
- luminal
- TensorFlow Rust
- tch-rs - rs?style=social"/> : Rust bindings for the C++ api of PyTorch.
- rustai-solutions/candle_demo_openchat_35 - solutions/candle_demo_openchat_35?style=social"/> : candle_demo_openchat_35.
- llama2.rs
- Llama2-burn - burn?style=social"/> : Llama2 LLM ported to Rust burn.
- gaxler/llama2.rs
- whisper-burn - burn?style=social"/> : A Rust implementation of OpenAI's Whisper model using the burn framework.
- stable-diffusion-burn - diffusion-burn?style=social"/> : Stable Diffusion v1.4 ported to Rust's burn framework.
- coreylowman/llama-dfdx - dfdx?style=social"/> : [LLaMa 7b](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) with CUDA acceleration implemented in rust. Minimal GPU memory needed!
- rustformers/llm
- Chidori
- llm-chain - chain?style=social"/> : llm-chain is a collection of Rust crates designed to help you work with Large Language Models (LLMs) more effectively. [llm-chain.xyz](https://llm-chain.xyz/)
- Abraxas-365/langchain-rust - 365/langchain-rust?style=social"/> : 🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust.
- Atome-FE/llama-node - FE/llama-node?style=social"/> : Believe in AI democratization. llama for nodejs backed by llama-rs and llama.cpp, work locally on your laptop CPU. support llama/alpaca/gpt4all/vicuna model. [www.npmjs.com/package/llama-node](https://www.npmjs.com/package/llama-node)
- Noeda/rllama
- mxismean/chatgpt-app - app?style=social"/> : Tauri 项目：ChatGPT App.
- Cormanz/smartgpt
- femtoGPT
- shafishlabs/llmchain-rs - rs?style=social"/> : 🦀Rust + Large Language Models - Make AI Services Freely and Easily. Inspired by LangChain.
- flaneur2020/llama2.rs
- Heng30/chatbox - ui and Rust.
- llm-chain - chain?style=social"/> : llm-chain is a collection of Rust crates designed to help you work with Large Language Models (LLMs) more effectively. [llm-chain.xyz](https://llm-chain.xyz/)
- Atome-FE/llama-node - FE/llama-node?style=social"/> : Believe in AI democratization. llama for nodejs backed by llama-rs and llama.cpp, work locally on your laptop CPU. support llama/alpaca/gpt4all/vicuna model. [www.npmjs.com/package/llama-node](https://www.npmjs.com/package/llama-node)
- Noeda/rllama
- mxismean/chatgpt-app - app?style=social"/> : Tauri 项目：ChatGPT App.
- sigoden/aichat - 3.5/GPT-4 in the terminal.
- Cormanz/smartgpt
- femtoGPT
- flaneur2020/llama2.rs
- Heng30/chatbox - ui and Rust.
- fairjm/dioxus-openai-qa-gui - openai-qa-gui?style=social"/> : a simple openai qa desktop app built with dioxus.
- llama2.zig
- renerocksai/gpt4all.zig - based chat client for an assistant-style large language model with ~800k GPT-3.5-Turbo Generations based on LLaMa.
- fairjm/dioxus-openai-qa-gui - openai-qa-gui?style=social"/> : a simple openai qa desktop app built with dioxus.
- llama2.zig
- renerocksai/gpt4all.zig - based chat client for an assistant-style large language model with ~800k GPT-3.5-Turbo Generations based on LLaMa.
- Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud [https://cloud.qdrant.io/](https://cloud.qdrant.io/). [qdrant.tech](https://qdrant.tech/)
- RUCAIBox/LLMSurvey
- jxzhangjhu/Awesome-LLM-RAG - LLM-RAG?style=social"/> : Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models.
- vince-lam/awesome-local-llms - lam/awesome-local-llms?style=social"/> : Compare open-source local LLM inference projects by their metrics to assess popularity and activeness.
- BradyFU/Awesome-Multimodal-Large-Language-Models - Multimodal-Large-Language-Models?style=social"/> : ✨✨Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation. "A Survey on Multimodal Large Language Models". (**[arXiv 2023](https://arxiv.org/abs/2306.13549)**). " 微信公众号「我爱计算机视觉」《[中科大腾讯发布首篇《多模态大语言模型综述》](https://mp.weixin.qq.com/s/IiPZWEVdAJ4xrlgyWtDwng)》"。
- hymie122/RAG-Survey - Survey?style=social"/> : Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey". (**[arXiv 2024](https://arxiv.org/abs/2402.19473)**). " 微信公众号「数智笔记」《[2024检索增强生成RAG最新综述](https://mp.weixin.qq.com/s/F-shRy1m7wQIS87ujOS7Dw)》"。
- eugeneyan/open-llms - llms?style=social"/> : 📋 A list of open LLMs available for commercial use.
- HqWu-HITCS/Awesome-Chinese-LLM - HITCS/Awesome-Chinese-LLM?style=social"/> : 整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
- cedrickchee/awesome-transformer-nlp - transformer-nlp?style=social"/> : A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
- mikhail-bot/awesome-gpt3 - bot/awesome-gpt3?style=social"/> :A Curated list of awesome GPT3 tools, libraries and resources.
- csbl-br/awesome-compbio-chatgpt - br/awesome-compbio-chatgpt?style=social"/> : An awesome repository of community-curated applications of ChatGPT and other LLMs in computational biology!
- Qdrant - io/milvus?style=social"/> : Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. [milvus.io](https://milvus.io/)
- eugeneyan/open-llms - llms?style=social"/> : 📋 A list of open LLMs available for commercial use.
- Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud [https://cloud.qdrant.io/](https://cloud.qdrant.io/). [qdrant.tech](https://qdrant.tech/)
- Hannibal046/Awesome-LLM - LLM?style=social"/> : Awesome-LLM: a curated list of Large Language Model.
- DefTruth/Awesome-LLM-Inference - LLM-Inference?style=social"/> : 📖A curated list of Awesome LLM/VLM Inference Papers with codes, such as FlashAttention, PagedAttention, Parallelism, etc. 🎉🎉
- formulahendry/awesome-gpt - gpt?style=social"/> : A curated list of awesome projects and resources related to GPT, ChatGPT, OpenAI, LLM, and more.
- RUCAIBox/LLMSurvey
- jxzhangjhu/Awesome-LLM-RAG - LLM-RAG?style=social"/> : Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models.
- BradyFU/Awesome-Multimodal-Large-Language-Models - Multimodal-Large-Language-Models?style=social"/> : ✨✨Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation. "A Survey on Multimodal Large Language Models". (**[arXiv 2023](https://arxiv.org/abs/2306.13549)**). " 微信公众号「我爱计算机视觉」《[中科大腾讯发布首篇《多模态大语言模型综述》](https://mp.weixin.qq.com/s/IiPZWEVdAJ4xrlgyWtDwng)》"。
- hymie122/RAG-Survey - Survey?style=social"/> : Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey". (**[arXiv 2024](https://arxiv.org/abs/2402.19473)**). " 微信公众号「数智笔记」《[2024检索增强生成RAG最新综述](https://mp.weixin.qq.com/s/F-shRy1m7wQIS87ujOS7Dw)》"。
- HqWu-HITCS/Awesome-Chinese-LLM - HITCS/Awesome-Chinese-LLM?style=social"/> : 整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
- cedrickchee/awesome-transformer-nlp - transformer-nlp?style=social"/> : A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
- GT-RIPL/Awesome-LLM-Robotics - RIPL/Awesome-LLM-Robotics?style=social"/> : A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites.
- mikhail-bot/awesome-gpt3 - bot/awesome-gpt3?style=social"/> :A Curated list of awesome GPT3 tools, libraries and resources.
- steven2358/awesome-generative-ai - generative-ai?style=social"/> : A curated list of modern Generative Artificial Intelligence projects and services.
- wshzd/Awesome-AIGC - AIGC?style=social"/> : AIGC资料汇总学习，持续更新......
- csbl-br/awesome-compbio-chatgpt - br/awesome-compbio-chatgpt?style=social"/> : An awesome repository of community-curated applications of ChatGPT and other LLMs in computational biology!
- steven2358/awesome-generative-ai - generative-ai?style=social"/> : A curated list of modern Generative Artificial Intelligence projects and services.
- wshzd/Awesome-AIGC - AIGC?style=social"/> : AIGC资料汇总学习，持续更新......
- doanbactam/awesome-stable-diffusion - stable-diffusion?style=social"/> : A curated list of awesome stable diffusion resources 🌟
- Yutong-Zhou-cv/Awesome-Text-to-Image - Zhou-cv/Awesome-Text-to-Image?style=social"/> : (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
- SeedV/generative-ai-roadmap - ai-roadmap?style=social"/> : 生成式AI的应用路线图 The roadmap of generative AI: use cases and applications.
- luban-agi/Awesome-AIGC-Tutorials - agi/Awesome-AIGC-Tutorials?style=social"/> : Curated tutorials and resources for Large Language Models, AI Painting, and more.
- xx025/carrot
- LiLittleCat/awesome-free-chatgpt - free-chatgpt?style=social"/> : 🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
- lzwme/chatgpt-sites - sites?style=social"/> : 搜集国内可用的 ChatGPT 在线体验免费网站列表。定时任务每日更新。[lzw.me/x/chatgpt-sites/](https://lzw.me/x/chatgpt-sites/)
- daochenzha/data-centric-AI - centric-AI?style=social"/> : A curated, but incomplete, list of data-centric AI resources. "Data-centric Artificial Intelligence: A Survey". (**[arXiv 2023](https://arxiv.org/abs/2303.10158)**).
- KSESEU/LLMPapers - 3, Codex etc.).
- arXiv 2023
- IEEE TPAMI, 2022
- 动手学深度学习（Dive into Deep Learning，D2L.ai） - ai/d2l-zh?style=social"/> : 《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。[zh.d2l.ai](http://zh.d2l.ai/)
- mlabonne/llm-course - course?style=social"/> : Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.[mlabonne.github.io/blog/](https://mlabonne.github.io/blog/)
- rasbt/LLMs-from-scratch - from-scratch?style=social"/> : Implementing a ChatGPT-like LLM from scratch, step by step. [https://www.manning.com/books/build-a-large-language-model-from-scratch](https://www.manning.com/books/build-a-large-language-model-from-scratch)
- naklecha/llama3-from-scratch - from-scratch?style=social"/> : llama3 implementation one matrix multiplication at a time.
- doanbactam/awesome-stable-diffusion - stable-diffusion?style=social"/> : A curated list of awesome stable diffusion resources 🌟
- Yutong-Zhou-cv/Awesome-Text-to-Image - Zhou-cv/Awesome-Text-to-Image?style=social"/> : (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
- SeedV/generative-ai-roadmap - ai-roadmap?style=social"/> : 生成式AI的应用路线图 The roadmap of generative AI: use cases and applications.
- luban-agi/Awesome-AIGC-Tutorials - agi/Awesome-AIGC-Tutorials?style=social"/> : Curated tutorials and resources for Large Language Models, AI Painting, and more.
- xx025/carrot
- LiLittleCat/awesome-free-chatgpt - free-chatgpt?style=social"/> : 🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
- lzwme/chatgpt-sites - sites?style=social"/> : 搜集国内可用的 ChatGPT 在线体验免费网站列表。定时任务每日更新。[lzw.me/x/chatgpt-sites/](https://lzw.me/x/chatgpt-sites/)
- daochenzha/data-centric-AI - centric-AI?style=social"/> : A curated, but incomplete, list of data-centric AI resources. "Data-centric Artificial Intelligence: A Survey". (**[arXiv 2023](https://arxiv.org/abs/2303.10158)**).
- KSESEU/LLMPapers - 3, Codex etc.).
- arXiv 2023
- IEEE TPAMI, 2022
- 动手学深度学习（Dive into Deep Learning，D2L.ai） - ai/d2l-zh?style=social"/> : 《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。[zh.d2l.ai](http://zh.d2l.ai/)
- mlabonne/llm-course - course?style=social"/> : Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.[mlabonne.github.io/blog/](https://mlabonne.github.io/blog/)
- rasbt/LLMs-from-scratch - from-scratch?style=social"/> : Implementing a ChatGPT-like LLM from scratch, step by step. [https://www.manning.com/books/build-a-large-language-model-from-scratch](https://www.manning.com/books/build-a-large-language-model-from-scratch)
- naklecha/llama3-from-scratch - from-scratch?style=social"/> : llama3 implementation one matrix multiplication at a time.
- karpathy/LLM101n - to-end from basics to a functioning web app similar to ChatGPT, from scratch in Python, C and CUDA, and with minimal computer science prerequisits. By the end you should have a relatively deep understanding of AI, LLMs, and deep learning more generally.
- DataTalksClub/llm-zoomcamp - zoomcamp?style=social"/> : LLM Zoomcamp - a free online course about building a Q&A system.
- zyds/transformers-code - code?style=social"/> : 手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube。
- DjangoPeng/openai-quickstart - quickstart?style=social"/> : A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications. 本项目旨在为所有对大型语言模型及其在生成式人工智能（AIGC）场景中应用的人们提供一站式学习资源。通过提供理论基础，开发基础，和实践示例，该项目对这些前沿主题提供了全面的指导。
- InternLM/Tutorial
- karpathy/LLM101n - to-end from basics to a functioning web app similar to ChatGPT, from scratch in Python, C and CUDA, and with minimal computer science prerequisits. By the end you should have a relatively deep understanding of AI, LLMs, and deep learning more generally.
- DataTalksClub/llm-zoomcamp - zoomcamp?style=social"/> : LLM Zoomcamp - a free online course about building a Q&A system.
- datawhalechina/llm-universe - universe?style=social"/> : 动手学大模型应用开发。本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：[https://datawhalechina.github.io/llm-universe/](https://datawhalechina.github.io/llm-universe/)
- datawhalechina/hugging-llm - llm?style=social"/> : HuggingLLM, Hugging Future. 蝴蝶书ButterflyBook. 配套视频教程：[https://b23.tv/hdnXn1L](https://www.bilibili.com/video/BV1ek4y1J7Rd/)
- zyds/transformers-code - code?style=social"/> : 手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube。
- DjangoPeng/openai-quickstart - quickstart?style=social"/> : A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications. 本项目旨在为所有对大型语言模型及其在生成式人工智能（AIGC）场景中应用的人们提供一站式学习资源。通过提供理论基础，开发基础，和实践示例，该项目对这些前沿主题提供了全面的指导。
- InternLM/Tutorial
- DLLXW/baby-llama2-chinese - llama2-chinese?style=social"/> : 用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
- charent/ChatLM-mini-Chinese - mini-Chinese?style=social"/> : 中文对话0.2B小模型（ChatLM-Chinese-0.2B），开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调，给出三元组信息抽取微调示例。
- DLLXW/baby-llama2-chinese - llama2-chinese?style=social"/> : 用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
- charent/ChatLM-mini-Chinese - mini-Chinese?style=social"/> : 中文对话0.2B小模型（ChatLM-Chinese-0.2B），开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调，给出三元组信息抽取微调示例。
- charent/Phi2-mini-Chinese - mini-Chinese?style=social"/> : Phi2-Chinese-0.2B 从0开始训练自己的Phi2中文小模型，支持接入langchain加载本地知识库做检索增强生成RAG。Training your own Phi2 small chat model from scratch.
- jiahe7ay/MINI_LLM - training process of LLM.
- SmartFlowAI/Hand-on-RAG - on-RAG?style=social"/> : Hand on RAG. 顾名思义：手搓的RAG。
- liguodongiot/llm-action - action?style=social"/> : 本项目旨在分享大模型相关技术原理以及实战经验。
- km1994/LLMsNineStoryDemonTower - LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等实战与经验。
- RahulSChand/llama2.c-for-dummies - for-dummies?style=social"/> : Step by step explanation/tutorial of llama2.c
- liteli1987gmail/python_langchain_cn
- phodal/aigc
- cystanford/aigc_LLM_engineering
- Hugging Face
- ModelScope | 魔塔社区 - as-a-Service” (MaaS). It seeks to bring together most advanced machine learning models from the AI community, and streamlines the process of leveraging AI models in real-world applications. [ModelScope](https://www.modelscope.cn/home) 是一个“模型即服务”(MaaS)平台，旨在汇集来自AI社区的最先进的机器学习模型，并简化在实际应用中使用AI模型的流程。ModelScope库使开发人员能够通过丰富的API设计执行推理、训练和评估，从而促进跨不同AI领域的最先进模型的统一体验。[www.modelscope.cn/](https://www.modelscope.cn/)
- charent/Phi2-mini-Chinese - mini-Chinese?style=social"/> : Phi2-Chinese-0.2B 从0开始训练自己的Phi2中文小模型，支持接入langchain加载本地知识库做检索增强生成RAG。Training your own Phi2 small chat model from scratch.
- jiahe7ay/MINI_LLM - training process of LLM.
- SmartFlowAI/Hand-on-RAG - on-RAG?style=social"/> : Hand on RAG. 顾名思义：手搓的RAG。
- liguodongiot/llm-action - action?style=social"/> : 本项目旨在分享大模型相关技术原理以及实战经验。
- km1994/LLMsNineStoryDemonTower - LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等实战与经验。
- phodal/aigc
- cystanford/aigc_LLM_engineering
- Hugging Face
- ModelScope | 魔塔社区 - as-a-Service” (MaaS). It seeks to bring together most advanced machine learning models from the AI community, and streamlines the process of leveraging AI models in real-world applications. [ModelScope](https://www.modelscope.cn/home) 是一个“模型即服务”(MaaS)平台，旨在汇集来自AI社区的最先进的机器学习模型，并简化在实际应用中使用AI模型的流程。ModelScope库使开发人员能够通过丰富的API设计执行推理、训练和评估，从而促进跨不同AI领域的最先进模型的统一体验。[www.modelscope.cn/](https://www.modelscope.cn/)
- OpenSeek - Open/OpenSeek?style=social"/> : OpenSeek aims to unite the global open source community to drive collaborative innovation in algorithms, data and systems to develop next-generation models that surpass DeepSeek.
- VLM-R1 - ai-lab/VLM-R1?style=social"/> : VLM-R1: A stable and generalizable R1-style Large Vision-Language Model. Solve Visual Understanding with Reinforced VLMs.
- X-AnyLabeling - AnyLabeling?style=social"/> : 💫 X-AnyLabeling 💫. Effortless data labeling with AI support from Segment Anything and other awesome models!
- NVIDIA/TensorRT-Model-Optimizer - Model-Optimizer?style=social"/> : TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs. [nvidia.github.io/TensorRT-Model-Optimizer](https://nvidia.github.io/TensorRT-Model-Optimizer/)
- om-ai-lab/OmAgent - ai-lab/OmAgent?style=social"/> : Build multimodal language agents for fast prototype and production. [om-agent.com](https://om-agent.com/)
- DeepSeek-V3 - ai/DeepSeek-V3?style=social"/> : "DeepSeek-V3 Technical Report". (**[arXiv 2024](https://arxiv.org/abs/2412.19437)**).
- Lamini - ai/lamini?style=social"/> : Lamini: The LLM engine for rapidly customizing models 🦙.
- Ollama
- atfortes/LLM-Reasoning-Papers - Reasoning-Papers?style=social"/> : Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.
- DeployAI/nndeploy - zh.readthedocs.io/zh/latest/](https://nndeploy-zh.readthedocs.io/zh/latest/)
- purton-tech/bionicgpt - tech/bionicgpt?style=social"/> : Accelerate LLM adoption in your organisation. Chat with your confidential data safely and securely. [bionic-gpt.com](https://bionic-gpt.com/)
- EugenHotaj/zig_inference
- GPT-Engineer - engineer?style=social"/> : Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.
- VisorGPT - Training". (**[arXiv 2023](https://arxiv.org/abs/2305.13777)**).
- Auto-GPT - Gravitas/Auto-GPT?style=social"/> : Auto-GPT: An Autonomous GPT-4 Experiment. Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI. [agpt.co](https://news.agpt.co/)
- Liger-Kernel - Kernel?style=social"/> : Efficient Triton Kernels for LLM Training. [arxiv.org/pdf/2410.10989](https://arxiv.org/pdf/2410.10989)
- World Labs
- Genie 2 - scale foundation world model.
- triton-inference-server/tensorrtllm_backend - inference-server/tensorrtllm_backend?style=social"/> : The Triton TensorRT-LLM Backend.
- harleyszhang/lite_llama
- hahnyuan/LLM-Viewer - Viewer?style=social"/> : Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline model in a user-friendly interface.
- harleyszhang/llm_counts
- microsoft/vattention
- harleyszhang/llm_note
- zjhellofss/KuiperLLama
- karpathy/build-nanogpt - nanogpt?style=social"/> : Video+code lecture on building nanoGPT from scratch.
- karpathy/nn-zero-to-hero - zero-to-hero?style=social"/> : Neural Networks: Zero to Hero. A course on neural networks that starts all the way at the basics. The course is a series of YouTube videos where we code and train neural networks together. The Jupyter notebooks we build in the videos are then captured here inside the [lectures](https://github.com/karpathy/nn-zero-to-hero/blob/master/lectures) directory. Every lecture also has a set of exercises included in the video description.
- DeepSeek-R1 - ai/DeepSeek-R1?style=social"/> : "DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning". (**[arXiv 2025](https://arxiv.org/abs/2501.12948)**).
- Open R1 - r1?style=social"/> : Fully open reproduction of [DeepSeek-R1](https://github.com/deepseek-ai/DeepSeek-R1).
- TinyZero - Pan/TinyZero?style=social"/> : Clean, accessible reproduction of DeepSeek R1-Zero. TinyZero is a reproduction of [DeepSeek R1 Zero](https://github.com/deepseek-ai/DeepSeek-R1) in countdown and multiplication tasks. We built upon [veRL](https://github.com/volcengine/verl).
- Ollama - R1, Phi-4, Gemma 2, and other large language models. [ollama.com](https://ollama.com/)
- CM computing surveys (CSUR), 2022
- Qwen2.5-VL - VL?style=social"/> : Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud. [2025-01-26，Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL!](https://qwenlm.github.io/blog/qwen2.5-vl/). "Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution". (**[arXiv 2024](https://arxiv.org/abs/2409.12191)**). "Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond". (**[arXiv 2023](https://arxiv.org/abs/2308.12966)**).
- Janus - ai/Janus?style=social"/> : 🚀 Janus-Series: Unified Multimodal Understanding and Generation Models. "Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling". (**[arXiv 2025](https://arxiv.org/abs/2501.17811)**). "Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation". (**[arXiv 2024](https://arxiv.org/abs/2410.13848)**). "JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation". (**[arXiv 2024](https://arxiv.org/abs/2411.07975)**).
- FlashAttention - AILab/flash-attention?style=social"/> : Fast and memory-efficient exact attention. "FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness". (**[arXiv 2022](https://arxiv.org/abs/2205.14135)**).
- TinyChatEngine - han-lab/TinyChatEngine?style=social"/> : TinyChatEngine: On-Device LLM Inference Library. Running large language models (LLMs) and visual language models (VLMs) on the edge is useful: copilot services (coding, office, smart reply) on laptops, cars, robots, and more. Users can get instant responses with better privacy, as the data is local. This is enabled by LLM model compression technique: [SmoothQuant](https://github.com/mit-han-lab/smoothquant) and [AWQ (Activation-aware Weight Quantization)](https://github.com/mit-han-lab/llm-awq), co-designed with TinyChatEngine that implements the compressed low-precision model. Feel free to check out our [slides](https://github.com/mit-han-lab/TinyChatEngine/blob/main/assets/slides.pdf) for more details!
- sonnylazuardi/chat-ai-desktop - ai-desktop?style=social"/> : Chat AI Desktop App. Unofficial ChatGPT desktop app for Mac & Windows menubar using Tauri & Rust.
- m1guelpf/browser-agent - agent?style=social"/> : A browser AI agent, using GPT-4. [docs.rs/browser-agent](https://docs.rs/browser-agent/latest/browser_agent/)
- GPTQ - DASLab/gptq?style=social"/> : "GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers". (**[ICLR 2023](https://arxiv.org/abs/2210.17323)**).
- SmoothQuant - han-lab/smoothquant?style=social"/> : "SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models". (**[ICML 2023](https://arxiv.org/abs/2211.10438)**).
- AWQ - han-lab/llm-awq?style=social"/> : "AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration". (**[MLSys 2024](https://arxiv.org/abs/2306.00978)**).
- zjhellofss/kuiperdatawhale
- Logic R1 - RL?style=social"/> : Successfully reproduced DeepSeek R1 Zero on 2K Tiny Logic Puzzle Dataset. See project explanation [here](https://evxpwrsfkdb.feishu.cn/docx/NokEdaMBmo6aqZxVdxkcSm2cnab?from=from_copylink).
- R1-V - Agent/R1-V?style=social"/> : R1-V: Reinforcing Super Generalization Ability in Vision Language Models with Less Than $3.
- OpenCLIP - Image Pre-training). "Reproducible scaling laws for contrastive language-image learning". (**[arXiv 2022](https://arxiv.org/abs/2212.07143)**).
- DeepSpeed
- deepseek-ai/awesome-deepseek-integration - ai/awesome-deepseek-integration?style=social"/> : Integrate the DeepSeek API into popular softwares. Access [DeepSeek Open Platform](https://platform.deepseek.com/) to get an API key.
- FlagAlpha/Llama2-Chinese - Chinese?style=social"/> : Llama中文社区，最好的中文Llama大模型，完全开源可商用。
Applications
- 提示语（魔法）
  - SmartSchoolAI/ai-to-pptx - to-pptx?style=social"/> : Ai-to-pptx是一个使用AI技术(DeepSeek)制作PPTX的助手，支持在线生成和导出PPTX。前端后端同时开源。主要功能: 1 使用DeepSeek等大语言模型来生成大纲 2 生成PPTX的时候可以选择不同的模板 3 支持导出PPTX。[pptx.dandian.net](https://pptx.dandian.net/)
  - sigoden/aichat - 3.5/GPT-4 in the terminal.
  - VideoChat - 23/VideoChat?style=social"/> : 实时语音交互数字人，支持端到端语音方案（GLM-4-Voice - THG）和级联方案（ASR-LLM-TTS-THG）。可自定义形象与音色，无须训练，支持音色克隆，首包延迟低至3s。Real-time voice interactive digital human, supporting end-to-end voice solutions (GLM-4-Voice - THG) and cascaded solutions (ASR-LLM-TTS-THG). Customizable appearance and voice, supporting voice cloning, with initial package delay as low as 3s.
  - Synaptrix/ChatGPT-Desktop - Desktop?style=social"/> : Fuel your productivity with ChatGPT-Desktop - Blazingly fast and supercharged!
  - ChatGPT-Next-Web - Next-Web?style=social"/> : A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。
  - DINO - Research/DINO?style=social"/> : "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection". (**[ICLR 2023](https://arxiv.org/abs/2203.03605)**).
  - DINOv2
  - GroundingDINO - Research/GroundingDINO?style=social"/> : "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection". (**[ECCV 2024](https://arxiv.org/abs/2303.05499)**).
  - lencx/ChatGPT
  - Cursor
  - Ask-Anything - Anything?style=social"/> : [VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS. [vchat.opengvlab.com/](https://vchat.opengvlab.com/). "VideoChat: Chat-Centric Video Understanding". (**[arXiv 2023](https://arxiv.org/abs/2305.06355)**).
  - InternLM/HuixiangDou - based Technical Assistance. "HuixiangDou" is a domain-specific knowledge assistant based on the LLM. “茴香豆”是一个基于 LLM 的领域知识助手。
  - a16z-infra/llama2-chatbot - infra/llama2-chatbot?style=social"/> : LLaMA 2 Chatbot App ⚡
  - Cursor
  - ChatHub - dev/chathub?style=social"/> : ChatHub is an all-in-one chatbot client. [chathub.gg/?utm_source=github](https://chathub.gg/?utm_source=github)
  - BestAnHongjun/InternDog
  - Ask-Anything - Anything?style=social"/> : [VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS. [vchat.opengvlab.com/](https://vchat.opengvlab.com/). "VideoChat: Chat-Centric Video Understanding". (**[arXiv 2023](https://arxiv.org/abs/2305.06355)**).
  - InternLM/HuixiangDou - based Technical Assistance. "HuixiangDou" is a domain-specific knowledge assistant based on the LLM. “茴香豆”是一个基于 LLM 的领域知识助手。
  - a16z-infra/llama2-chatbot - infra/llama2-chatbot?style=social"/> : LLaMA 2 Chatbot App ⚡
  - fuergaosi233/wechat-chatgpt - chatgpt?style=social"/> : Use ChatGPT On Wechat via wechaty.
  - KMnO4-zx/xlab-huanhuan - zx/xlab-huanhuan?style=social"/> : Chat-甄嬛是利用《甄嬛传》剧本中所有关于甄嬛的台词和语句，基于[InternLM2](https://github.com/InternLM/InternLM.git)进行LoRA微调或全量微调得到的模仿甄嬛语气的聊天语言模型。
  - JimmyMa99/Roleplay-with-XiYou - with-XiYou?style=social"/> : Roleplay-with-XiYou 西游角色扮演。基于《西游记》原文、白话文、ChatGPT生成数据制作的，以InternLM2微调的角色扮演多LLM聊天室。本项目将介绍关于角色扮演类 LLM 的一切，从数据获取、数据处理，到使用 XTuner 微调并部署至 OpenXLab，再到使用 LMDeploy 部署，以 openai api 的方式接入简单的聊天室，并可以观看不同角色的 LLM 互相交流、互怼。
  - LeRobot - of-the-art Machine Learning for Real-World Robotics in Pytorch.
  - GPT Pilot - io/gpt-pilot?style=social"/> : The first real AI developer. GPT Pilot doesn't just generate code, it builds apps! GPT Pilot is the core technology for the [Pythagora VS Code extension](https://bit.ly/3IeZxp6) that aims to provide the first real AI developer companion. Not just an autocomplete or a helper for PR messages but rather a real AI developer that can write full features, debug them, talk to you about issues, ask for review, etc.
  - CodeGeeX2 - CN)
  - Langchain-Chatchat - space/Langchain-Chatchat?style=social"/> : lLangchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain ｜基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答。
  - CodeGeeX2 - CN)
  - fuergaosi233/wechat-chatgpt - chatgpt?style=social"/> : Use ChatGPT On Wechat via wechaty.
  - KMnO4-zx/xlab-huanhuan - zx/xlab-huanhuan?style=social"/> : Chat-甄嬛是利用《甄嬛传》剧本中所有关于甄嬛的台词和语句，基于[InternLM2](https://github.com/InternLM/InternLM.git)进行LoRA微调或全量微调得到的模仿甄嬛语气的聊天语言模型。
  - JimmyMa99/Roleplay-with-XiYou - with-XiYou?style=social"/> : Roleplay-with-XiYou 西游角色扮演。基于《西游记》原文、白话文、ChatGPT生成数据制作的，以InternLM2微调的角色扮演多LLM聊天室。本项目将介绍关于角色扮演类 LLM 的一切，从数据获取、数据处理，到使用 XTuner 微调并部署至 OpenXLab，再到使用 LMDeploy 部署，以 openai api 的方式接入简单的聊天室，并可以观看不同角色的 LLM 互相交流、互怼。
  - LeRobot - of-the-art Machine Learning for Real-World Robotics in Pytorch.
  - BestAnHongjun/InternDog
  - GPT Pilot - io/gpt-pilot?style=social"/> : The first real AI developer. GPT Pilot doesn't just generate code, it builds apps! GPT Pilot is the core technology for the [Pythagora VS Code extension](https://bit.ly/3IeZxp6) that aims to provide the first real AI developer companion. Not just an autocomplete or a helper for PR messages but rather a real AI developer that can write full features, debug them, talk to you about issues, ask for review, etc.
  - StarCoder - project/starcoder?style=social"/> : 💫 StarCoder is a language model (LM) trained on source code and natural language text. Its training data incorporates more that 80 different programming languages as well as text extracted from GitHub issues and commits and from notebooks.
  - Langchain-Chatchat - space/Langchain-Chatchat?style=social"/> : lLangchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain ｜基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答。
  - yanqiangmiffy/Chinese-LangChain - LangChain?style=social"/> : Chinese-LangChain：中文langchain项目，基于ChatGLM-6b+langchain实现本地化知识库检索与智能答案生成。俗称：小必应，Q.Talk，强聊，QiangTalk。
  - labring/FastGPT - based question answering system built on the LLM. It offers out-of-the-box data processing and model invocation capabilities. Moreover, it allows for workflow orchestration through Flow visualization, thereby enabling complex question and answer scenarios! [fastgpt.run](https://fastgpt.run/)
  - MemGPT - term memory and custom tools 📚🦙. [memgpt.readme.io](https://memgpt.readme.io/)
  - THUDM/WebGLM - enhanced Question Answering System (KDD 2023). "WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences". (**[arXiv 2023](https://arxiv.org/abs/2306.07906)**).
  - afaqueumer/DocQA
  - binary-husky/gpt_academic - husky/gpt_academic?style=social"/> : 为ChatGPT/GLM提供图形交互界面，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。
  - kaixindelele/ChatPaper
  - GPTZero
  - yanqiangmiffy/Chinese-LangChain - LangChain?style=social"/> : Chinese-LangChain：中文langchain项目，基于ChatGLM-6b+langchain实现本地化知识库检索与智能答案生成。俗称：小必应，Q.Talk，强聊，QiangTalk。
  - MemGPT - term memory and custom tools 📚🦙. [memgpt.readme.io](https://memgpt.readme.io/)
  - THUDM/WebGLM - enhanced Question Answering System (KDD 2023). "WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences". (**[arXiv 2023](https://arxiv.org/abs/2306.07906)**).
  - afaqueumer/DocQA
  - rese1f/MovieChat
  - binary-husky/gpt_academic - husky/gpt_academic?style=social"/> : 为ChatGPT/GLM提供图形交互界面，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。
  - kaixindelele/ChatPaper
  - GPTZero
  - BurhanUlTayyab/GPTZero - source implementation of [GPTZero](https://gptzero.me/). GPTZero is an AI model with some mathematical formulation to determine if a particular text fed to it is written by AI or a human being.
  - BurhanUlTayyab/DetectGPT - source Pytorch implementation of [DetectGPT](https://arxiv.org/pdf/2301.11305.pdf). DetectGPT is an amazing method to determine whether a piece of text is written by large language models (like ChatGPT, GPT3, GPT2, BLOOM etc). However, we couldn't find any open-source implementation of it. Therefore this is the implementation of the paper. "DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature". (**[arXiv 2023](https://arxiv.org/abs/2301.11305v1)**).
  - WangRongsheng/ChatGenTitle
  - nishiwen1214/ChatReviewer
  - 本草[原名：华驼(HuaTuo) - HI/Huatuo-Llama-Med-Chinese?style=social"/> : Repo for BenTsao [original name: HuaTuo (华驼)], Llama-7B tuned with Chinese medical knowledge. 本草[原名：华驼(HuaTuo)]: 基于中文医学知识的LLaMA微调模型。本项目开源了经过中文医学指令精调/指令微调(Instruct-tuning) 的LLaMA-7B模型。我们通过医学知识图谱和GPT3.5 API构建了中文医学指令数据集，并在此基础上对LLaMA进行了指令微调，提高了LLaMA在医疗领域的问答效果。 "HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge". (**[arXiv 2023](https://arxiv.org/abs/2304.06975)**).
  - Shiling42/web-simulator-by-GPT4 - simulator-by-GPT4?style=social"/> : Online Interactive Physical Simulation Generated by GPT-4. [shilingliang.com/web-simulator-by-GPT4/](https://shilingliang.com/web-simulator-by-GPT4/)
  - MedSAM - lab/MedSAM?style=social"/> : "Segment Anything in Medical Images". (**[arXiv 2023](https://arxiv.org/abs/2304.12306)**). "微信公众号「江大白」《[MedSAM在医学领域，图像分割中的落地应用（附论文及源码）](https://mp.weixin.qq.com/s/JJ0umIzJ5VKJ87A_jnDtOw)》"。
  - LLaVA-Med - Med?style=social"/> : "LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day". (**[arXiv 2023](https://arxiv.org/abs/2306.00890)**). "微信公众号「CVHub」《[微软发布医学多模态大模型LLaVA-Med | 基于LLaVA的医学指令微调](https://mp.weixin.qq.com/s/gzyVtbMArWDnfSzfCkxl9w)》"。
  - MedicalGPT
  - BurhanUlTayyab/GPTZero - source implementation of [GPTZero](https://gptzero.me/). GPTZero is an AI model with some mathematical formulation to determine if a particular text fed to it is written by AI or a human being.
  - BurhanUlTayyab/DetectGPT - source Pytorch implementation of [DetectGPT](https://arxiv.org/pdf/2301.11305.pdf). DetectGPT is an amazing method to determine whether a piece of text is written by large language models (like ChatGPT, GPT3, GPT2, BLOOM etc). However, we couldn't find any open-source implementation of it. Therefore this is the implementation of the paper. "DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature". (**[arXiv 2023](https://arxiv.org/abs/2301.11305v1)**).
  - WangRongsheng/ChatGenTitle
  - 本草[原名：华驼(HuaTuo) - HI/Huatuo-Llama-Med-Chinese?style=social"/> : Repo for BenTsao [original name: HuaTuo (华驼)], Llama-7B tuned with Chinese medical knowledge. 本草[原名：华驼(HuaTuo)]: 基于中文医学知识的LLaMA微调模型。本项目开源了经过中文医学指令精调/指令微调(Instruct-tuning) 的LLaMA-7B模型。我们通过医学知识图谱和GPT3.5 API构建了中文医学指令数据集，并在此基础上对LLaMA进行了指令微调，提高了LLaMA在医疗领域的问答效果。 "HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge". (**[arXiv 2023](https://arxiv.org/abs/2304.06975)**).
  - MedSAM - lab/MedSAM?style=social"/> : "Segment Anything in Medical Images". (**[arXiv 2023](https://arxiv.org/abs/2304.12306)**). "微信公众号「江大白」《[MedSAM在医学领域，图像分割中的落地应用（附论文及源码）](https://mp.weixin.qq.com/s/JJ0umIzJ5VKJ87A_jnDtOw)》"。
  - LLaVA-Med - Med?style=social"/> : "LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day". (**[arXiv 2023](https://arxiv.org/abs/2306.00890)**). "微信公众号「CVHub」《[微软发布医学多模态大模型LLaVA-Med | 基于LLaVA的医学指令微调](https://mp.weixin.qq.com/s/gzyVtbMArWDnfSzfCkxl9w)》"。
  - MedicalGPT
  - MedQA-ChatGLM - ChatGLM?style=social"/> : 🛰️ 基于真实医疗对话数据在ChatGLM上进行LoRA、P-Tuning V2、Freeze、RLHF等微调，我们的眼光不止于医疗问答。[www.wangrs.co/MedQA-ChatGLM/](https://www.wangrs.co/MedQA-ChatGLM/). "MedQA-ChatGLM: A Medical QA Model Fine-tuned on ChatGLM Using Multiple fine-tuning Method and Real Medical QA Data".
  - 仲景 - world Multi-turn Dialogue". (**[arXiv 2023](https://arxiv.org/abs/2308.03549)**).
  - MedQA-ChatGLM - ChatGLM?style=social"/> : 🛰️ 基于真实医疗对话数据在ChatGLM上进行LoRA、P-Tuning V2、Freeze、RLHF等微调，我们的眼光不止于医疗问答。[www.wangrs.co/MedQA-ChatGLM/](https://www.wangrs.co/MedQA-ChatGLM/). "MedQA-ChatGLM: A Medical QA Model Fine-tuned on ChatGLM Using Multiple fine-tuning Method and Real Medical QA Data".
  - xhu248/AutoSAM
  - 仲景 - world Multi-turn Dialogue". (**[arXiv 2023](https://arxiv.org/abs/2308.03549)**).
  - MeChat - turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support". (**[arXiv 2023](https://arxiv.org/abs/2305.00450)**).
  - SmartFlowAI/EmoLLM - 心理健康大模型是一系列能够支持理解用户-支持用户-帮助用户心理健康辅导链路的心理健康大模型，由 LLM指令微调而来。心理健康大模型、LLM、The Big Model of Mental Health、Finetune、InternLM2、Qwen、ChatGLM、Baichuan、DeepSeek、Mixtral。
  - ChatLaw - YuanGroup/ChatLaw?style=social"/> : ChatLaw-法律大模型。[chatlaw.cloud/lawchat/](https://chatlaw.cloud/lawchat/)
  - LaWGPT - song/LaWGPT?style=social"/> : 🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. LaWGPT 是一系列基于中文法律知识的开源大语言模型。该系列模型在通用中文基座模型（如 Chinese-LLaMA、ChatGLM 等）的基础上扩充法律领域专有词表、大规模中文法律语料预训练，增强了大模型在法律领域的基础语义理解能力。在此基础上，构造法律领域对话问答数据集、中国司法考试数据集进行指令精调，提升了模型对法律内容的理解和执行能力。
  - MeChat - turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support". (**[arXiv 2023](https://arxiv.org/abs/2305.00450)**).
  - SmartFlowAI/EmoLLM - 心理健康大模型是一系列能够支持理解用户-支持用户-帮助用户心理健康辅导链路的心理健康大模型，由 LLM指令微调而来。心理健康大模型、LLM、The Big Model of Mental Health、Finetune、InternLM2、Qwen、ChatGLM、Baichuan、DeepSeek、Mixtral。
  - ChatLaw - YuanGroup/ChatLaw?style=social"/> : ChatLaw-法律大模型。[chatlaw.cloud/lawchat/](https://chatlaw.cloud/lawchat/)
  - LaWGPT - song/LaWGPT?style=social"/> : 🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. LaWGPT 是一系列基于中文法律知识的开源大语言模型。该系列模型在通用中文基座模型（如 Chinese-LLaMA、ChatGLM 等）的基础上扩充法律领域专有词表、大规模中文法律语料预训练，增强了大模型在法律领域的基础语义理解能力。在此基础上，构造法律领域对话问答数据集、中国司法考试数据集进行指令精调，提升了模型对法律内容的理解和执行能力。
  - FinGPT - foundation/fingpt?style=social"/> : Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model. "微信公众号「AINLPer」《[FinGPT：一个「专用于金融领域」的开源大语言模型（LLM）框架，源码公开！](https://mp.weixin.qq.com/s/A9euFin675nxGGciiX6rJQ)》"。
  - Progressive-Hint - Zheng/Progressive-Hint?style=social"/> : "Progressive-Hint Prompting Improves Reasoning in Large Language Models". (**[arXiv 2023](https://arxiv.org/abs/2304.09797)**).
  - Goat - tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks". (**[arXiv 2023](https://arxiv.org/abs/2305.14201)**). "微信公众号「AINLPer」《[近乎完美！最强算术语言模型: Goar-7B，干翻GPT-4，怒越PaLM-540B！24G可训练](https://mp.weixin.qq.com/s/_haINkHNV4bMszm9F41yXA)》"。
  - AXYZdong/AMchat
  - GuoYiFantastic/IMelodist - IMelodist. Music large model based on InternLM2-chat.
  - FinGPT - foundation/fingpt?style=social"/> : Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model. "微信公众号「AINLPer」《[FinGPT：一个「专用于金融领域」的开源大语言模型（LLM）框架，源码公开！](https://mp.weixin.qq.com/s/A9euFin675nxGGciiX6rJQ)》"。
  - Progressive-Hint - Zheng/Progressive-Hint?style=social"/> : "Progressive-Hint Prompting Improves Reasoning in Large Language Models". (**[arXiv 2023](https://arxiv.org/abs/2304.09797)**).
  - Goat - tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks". (**[arXiv 2023](https://arxiv.org/abs/2305.14201)**). "微信公众号「AINLPer」《[近乎完美！最强算术语言模型: Goar-7B，干翻GPT-4，怒越PaLM-540B！24G可训练](https://mp.weixin.qq.com/s/_haINkHNV4bMszm9F41yXA)》"。
  - AXYZdong/AMchat
  - GuoYiFantastic/IMelodist - IMelodist. Music large model based on InternLM2-chat.
  - flinkerlab/neural_speech_decoding - 024-00824-8)**). "微信公众号「量子位」《[脑电合成自然语音！LeCun转发Nature子刊新成果，代码开源](https://mp.weixin.qq.com/s/BcV3-3glmdsVF--fpPRU2g)》"。
  - CLoT - sg/CLoT?style=social"/> : Creative Leap-of-Thought (CLoT). Official Codebase of our Paper: "Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation" (**[CVPR 2024](https://arxiv.org/abs/2312.02439)**). [zhongshsh.github.io/CLoT](https://zhongshsh.github.io/CLoT/). "微信公众号「NewBeeNLP」《[中山大学：“梗王”大模型，靠讲笑话登上CVPR](https://mp.weixin.qq.com/s/AeWCbKByO-fYFThSxOb43A)》"。
  - SaaRaaS-1300/InternLM2_horowag - 1300/InternLM2_horowag?style=social"/> : 🍿InternLM2_Horowag🍿 🍏专门为 2024 书生·浦语大模型挑战赛 (春季赛) 准备的 Repo🍎收录了赫萝相关的微调模型。
  - SmartFlowAI/TheGodOfCookery
  - ToolBench - world APIs". (**[arXiv 2023](https://arxiv.org/abs/2307.16789)**).
  - UniAD - oriented Autonomous Driving". (**[CVPR 2023](https://arxiv.org/abs/2212.10156)**).
  - TransGPT|致远
  - LLMLight - hkust/LLMTSCS?style=social"/> : "LLMLight: Large Language Models as Traffic Signal Control Agents". (**[arXiv 2024](https://arxiv.org/abs/2312.16044)**).
  - llm-attacks/llm-attacks - attacks/llm-attacks?style=social"/> : "Universal and Transferable Adversarial Attacks on Aligned Language Models". (**[arXiv 2023](https://arxiv.org/abs/2307.15043)**). [llm-attacks.org/](https://llm-attacks.org/). "微信公众号「新智元」《[ChatGPT羊驼家族全沦陷！CMU博士击破LLM护栏，人类毁灭计划脱口而出](https://mp.weixin.qq.com/s/9UaYiLoIaXixfE8Ka8um5A)》"。
  - MetaGPT - Agent Collaborative Framework". (**[arXiv 2023](https://arxiv.org/abs/2308.00352)**).
  - flinkerlab/neural_speech_decoding - 024-00824-8)**). "微信公众号「量子位」《[脑电合成自然语音！LeCun转发Nature子刊新成果，代码开源](https://mp.weixin.qq.com/s/BcV3-3glmdsVF--fpPRU2g)》"。
  - CLoT - sg/CLoT?style=social"/> : Creative Leap-of-Thought (CLoT). Official Codebase of our Paper: "Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation" (**[CVPR 2024](https://arxiv.org/abs/2312.02439)**). [zhongshsh.github.io/CLoT](https://zhongshsh.github.io/CLoT/). "微信公众号「NewBeeNLP」《[中山大学：“梗王”大模型，靠讲笑话登上CVPR](https://mp.weixin.qq.com/s/AeWCbKByO-fYFThSxOb43A)》"。
  - SaaRaaS-1300/InternLM2_horowag - 1300/InternLM2_horowag?style=social"/> : 🍿InternLM2_Horowag🍿 🍏专门为 2024 书生·浦语大模型挑战赛 (春季赛) 准备的 Repo🍎收录了赫萝相关的微调模型。
  - SmartFlowAI/TheGodOfCookery
  - ToolBench - world APIs". (**[arXiv 2023](https://arxiv.org/abs/2307.16789)**).
  - DriveVLM - Language Models". (**[CoRL 2024](https://arxiv.org/abs/2402.12289)**). "微信公众号「清华大学交叉信息研究院」《[DriveVLM：清华MARS Lab合作推出首个部署上车的自动驾驶视觉语言大模型](https://mp.weixin.qq.com/s/kpyapOSyDngtinYeheYxyA)》"。
  - UniAD - oriented Autonomous Driving". (**[CVPR 2023](https://arxiv.org/abs/2212.10156)**).
  - TransGPT|致远
  - LLMLight - hkust/LLMTSCS?style=social"/> : "LLMLight: Large Language Models as Traffic Signal Control Agents". (**[arXiv 2024](https://arxiv.org/abs/2312.16044)**).
  - llm-attacks/llm-attacks - attacks/llm-attacks?style=social"/> : "Universal and Transferable Adversarial Attacks on Aligned Language Models". (**[arXiv 2023](https://arxiv.org/abs/2307.15043)**). [llm-attacks.org/](https://llm-attacks.org/). "微信公众号「新智元」《[ChatGPT羊驼家族全沦陷！CMU博士击破LLM护栏，人类毁灭计划脱口而出](https://mp.weixin.qq.com/s/9UaYiLoIaXixfE8Ka8um5A)》"。
  - RealChar
  - RealChar
  - FaceChain - learning toolchain for generating your Digital-Twin. FaceChain is a deep-learning toolchain for generating your Digital-Twin. With a minimum of 1 portrait-photo, you can create a Digital-Twin of your own and start generating personal portraits in different settings (multiple styles now supported!). You may train your Digital-Twin model and generate photos via FaceChain's Python scripts, or via the familiar Gradio interface. FaceChain是一个可以用来打造个人数字形象的深度学习模型工具。用户仅需要提供最低三张照片即可获得独属于自己的个人形象数字替身。FaceChain支持在gradio的界面中使用模型训练和推理能力，也支持资深开发者使用python脚本进行训练推理。
  - VirtualWife
  - GPT-vup - vup?style=social"/> : GPT-vup Live2D数字人直播。GPT-vup BIliBili | 抖音 | AI | 虚拟主播。
  - ChatVRM
  - SillyTavern
  - HeyGen
  - FaceChain - learning toolchain for generating your Digital-Twin. FaceChain is a deep-learning toolchain for generating your Digital-Twin. With a minimum of 1 portrait-photo, you can create a Digital-Twin of your own and start generating personal portraits in different settings (multiple styles now supported!). You may train your Digital-Twin model and generate photos via FaceChain's Python scripts, or via the familiar Gradio interface. FaceChain是一个可以用来打造个人数字形象的深度学习模型工具。用户仅需要提供最低三张照片即可获得独属于自己的个人形象数字替身。FaceChain支持在gradio的界面中使用模型训练和推理能力，也支持资深开发者使用python脚本进行训练推理。
  - GPT-vup - vup?style=social"/> : GPT-vup Live2D数字人直播。GPT-vup BIliBili | 抖音 | AI | 虚拟主播。
  - ChatVRM
  - SillyTavern
  - HeyGen
  - ChatGPT-Admin-Web - Admin-Web?style=social"/> : 带有用户管理和后台管理系统的 ChatGPT WebUI. [caw.sku.moe](https://caw.sku.moe/)
  - 202252197/ChatGPT_JCM
  - wieslawsoltes/ChatGPT
  - sigoden/aichat
  - amrrs/chatgpt-clone - clone?style=social"/> : Build Yo'own ChatGPT with OpenAI API & Gradio.
  - llama2-webui - eth/llama2-webui?style=social"/> : Run Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Supporting Llama-2-7B/13B/70B with 8-bit, 4-bit. Supporting GPU inference (6 GB VRAM) and CPU inference.
  - ricklamers/gpt-code-ui - code-ui?style=social"/> : An open source implementation of OpenAI's ChatGPT Code interpreter.
  - mckaywrigley/chatbot-ui - ui?style=social"/> :An open source ChatGPT UI. [chatbotui.com](https://chatbotui.com/)
  - chieapp/chie
  - ChatGPT-Admin-Web - Admin-Web?style=social"/> : 带有用户管理和后台管理系统的 ChatGPT WebUI. [caw.sku.moe](https://caw.sku.moe/)
  - 202252197/ChatGPT_JCM
  - wieslawsoltes/ChatGPT
  - sigoden/aichat
  - amrrs/chatgpt-clone - clone?style=social"/> : Build Yo'own ChatGPT with OpenAI API & Gradio.
  - llama2-webui - eth/llama2-webui?style=social"/> : Run Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Supporting Llama-2-7B/13B/70B with 8-bit, 4-bit. Supporting GPU inference (6 GB VRAM) and CPU inference.
  - ricklamers/gpt-code-ui - code-ui?style=social"/> : An open source implementation of OpenAI's ChatGPT Code interpreter.
  - mckaywrigley/chatbot-ui - ui?style=social"/> :An open source ChatGPT UI. [chatbotui.com](https://chatbotui.com/)
  - chieapp/chie
  - AUTOMATIC1111/stable-diffusion-webui - diffusion-webui?style=social"/> : Stable Diffusion web UI. A browser interface based on Gradio library for Stable Diffusion.
  - Mikubill/sd-webui-controlnet - webui-controlnet?style=social"/> : ControlNet for Stable Diffusion WebUI. The WebUI extension for ControlNet and other injection-based SD controls.
  - oobabooga/text-generation-webui - generation-webui?style=social"/> : Text generation web UI. A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.
  - SolidUI - generated visualization prototyping and editing platform.
  - AIdea
  - Chainlit - like UIs on top of any Python code in minutes! [docs.chainlit.io](https://docs.chainlit.io/overview)
  - AUTOMATIC1111/stable-diffusion-webui - diffusion-webui?style=social"/> : Stable Diffusion web UI. A browser interface based on Gradio library for Stable Diffusion.
  - Mikubill/sd-webui-controlnet - webui-controlnet?style=social"/> : ControlNet for Stable Diffusion WebUI. The WebUI extension for ControlNet and other injection-based SD controls.
  - oobabooga/text-generation-webui - generation-webui?style=social"/> : Text generation web UI. A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.
  - SolidUI - generated visualization prototyping and editing platform.
  - privateGPT - ai/langchain), [GPT4All](https://github.com/nomic-ai/gpt4all), [LlamaCpp](https://github.com/ggerganov/llama.cpp), [Chroma](https://www.trychroma.com/) and [SentenceTransformers](https://www.sbert.net/).
  - Poordeveloper/chatgpt-app - app?style=social"/> : A ChatGPT App for all platforms. Built with Rust + Tauri + Vue + Axum.
  - HiveChat - sized teams, supporting models such as Deepseek, Open AI, Claude, and Gemini. 专为中小团队设计的 AI 聊天应用，支持 Deepseek、Open AI、Claude、Gemini 等模型。
  - Lobe Chat - chat?style=social"/> : 🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Qwen / DeepSeek), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Vision/TTS/Plugins/Artifacts). One-click FREE deployment of your private ChatGPT/ Claude application. [chat-preview.lobehub.com](https://chat-preview.lobehub.com/)
  - lencx/ChatGPT
  - Synaptrix/ChatGPT-Desktop - Desktop?style=social"/> : Fuel your productivity with ChatGPT-Desktop - Blazingly fast and supercharged!
  - Poordeveloper/chatgpt-app - app?style=social"/> : A ChatGPT App for all platforms. Built with Rust + Tauri + Vue + Axum.
  - m1guelpf/browser-agent - agent?style=social"/> : A browser AI agent, using GPT-4. [docs.rs/browser-agent](https://docs.rs/browser-agent/latest/browser_agent/)
  - yetone/openai-translator - translator?style=social"/> : The translator that does more than just translation - powered by OpenAI.
  - DoctorGPT - platform, & your health data stays private.
  - sonnylazuardi/chat-ai-desktop - ai-desktop?style=social"/> : Chat AI Desktop App. Unofficial ChatGPT desktop app for Mac & Windows menubar using Tauri & Rust.
  - cLangUI
  - YOLO-World - CVC/YOLO-World?style=social"/> : "YOLO-World: Real-Time Open-Vocabulary Object Detection". (**[CVPR 2024](https://arxiv.org/abs/2401.17270)**). [www.yoloworld.cc](https://www.yoloworld.cc/)
  - Autodistill
  - DriveVLM - Language Models". (**[CoRL 2024](https://arxiv.org/abs/2402.12289)**). "微信公众号「清华大学交叉信息研究院」《[DriveVLM：清华MARS Lab合作推出首个部署上车的自动驾驶视觉语言大模型](https://mp.weixin.qq.com/s/kpyapOSyDngtinYeheYxyA)》"。
  - Code Llama
  - DOSOD - Robotics-AI-Lab/DOSOD?style=social"/> : "A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint Space". (**[arXiv 2024](https://arxiv.org/abs/2412.14680)**).
  - OpenEMMA - group/OpenEMMA?style=social"/> : "OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving". (**[arXiv 2024](https://arxiv.org/abs/2412.15208)**).
Datasets
- 数据集
  - Label Studio - studio?style=social"/> : Label Studio is a multi-type data labeling and annotation tool with standardized output format. [labelstud.io](https://labelstud.io/)
  - AnyLabeling - assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!! AnyLabeling = LabelImg + Labelme + Improved UI + Auto-labeling. [anylabeling.nrl.ai](https://anylabeling.nrl.ai/)
  - OpenDataLab
  - Leymore/ruozhiba
  - Youku-mPLUG - PLUG/Youku-mPLUG?style=social"/> : "Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks". (**[arXiv 2023](https://arxiv.org/abs/2306.04362)**). "微信公众号「我爱计算机视觉」《[YouKu-mPLUG 最大中文视频语言数据集，助力增强多模态大型模型性能](https://mp.weixin.qq.com/s/iJoaKCykO09R3jTCylRTVA)》"。
  - Intern · WanJuan｜书生·万卷
  - matrix-alpha/Accountable-Textual-Visual-Chat - alpha/Accountable-Textual-Visual-Chat?style=social"/> : "Accountable Textual-Visual Chat Learns to Reject Human Instructions in Image Re-creation". (**[arXiv 2023](https://arxiv.org/abs/2303.05983)**). [https://matrix-alpha.github.io/](https://matrix-alpha.github.io/)
  - chaoswork/sft_datasets
  - OpenDataLab
  - Leymore/ruozhiba
  - Youku-mPLUG - PLUG/Youku-mPLUG?style=social"/> : "Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks". (**[arXiv 2023](https://arxiv.org/abs/2306.04362)**). "微信公众号「我爱计算机视觉」《[YouKu-mPLUG 最大中文视频语言数据集，助力增强多模态大型模型性能](https://mp.weixin.qq.com/s/iJoaKCykO09R3jTCylRTVA)》"。
  - Intern · WanJuan｜书生·万卷
  - matrix-alpha/Accountable-Textual-Visual-Chat - alpha/Accountable-Textual-Visual-Chat?style=social"/> : "Accountable Textual-Visual Chat Learns to Reject Human Instructions in Image Re-creation". (**[arXiv 2023](https://arxiv.org/abs/2303.05983)**). [https://matrix-alpha.github.io/](https://matrix-alpha.github.io/)
  - chaoswork/sft_datasets
  - X-AnyLabeling - AnyLabeling?style=social"/> : Effortless data labeling with AI support from Segment Anything and other awesome models.
  - lmmlzn/Awesome-LLMs-Datasets - LLMs-Datasets?style=social"/> : Summarize existing representative LLMs text datasets.
  - RoboMIND - embodiment Intelligence Normative Data for Robot Manipulation". (**[arXiv 2024](https://arxiv.org/abs/2412.13877)**).
Interview
- 数据集
  - 315386775/DeepLearing-Interview-Awesome-2024 - Interview-Awesome-2024?style=social"/> : AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目。
  - 2024-04-21，推理部署工程师面试题库
  - 2024-04-21，算法工程师面试常考手撕题（更新）
  - 2024-04-21，算法工程师面试题笔记
  - 2023-08-31，大模型来自面试的一些体会和分享
  - 2024-11-29，LLM推理加速为什么要用KV Cache？
  - 2024-12-06，面试官扎心一问：大模型显存如何估算？
  - 2024-12-16，FlashAttention原理，终于看明白了！
  - 2023-08-31，大模型来自面试的一些体会和分享
  - 2023-08-17，大模型面试八股含答案
  - wdndev/llm_interview_note
  - wdndev/mllm_interview_note
  - 2024-12-25，腾讯大模型面试：MoE训练用TP还是EP？
  - km1994/LLMs_interview_notes
  - 2025-01-06，为什么有KV Cache而没有Q Cache?
  - 2024-12-28，大模型面经 | 理想汽车
  - 2025-01-02，大模型面经 | 小米
  - 2025-01-03，AI工程师面经 | 华为
  - 2025-01-04，大模型面经 | 金山
  - 2025-01-06，大模型面经 | 摩尔线程
  - luhengshiwo/LLMForEverybody
Prompts
- 提示语（魔法）
  - PlexPt/awesome-chatgpt-prompts-zh - chatgpt-prompts-zh?style=social"/> : ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。[chat.aimakex.com/](https://chat.aimakex.com/)
  - travistangvh/ChatGPT-Data-Science-Prompts - Data-Science-Prompts?style=social"/> : 🚀 ChatGPT Prompts for Data Science! A repository of 60 useful data science prompts for ChatGPT.
  - kevinamiri/Instructgpt-prompts - prompts?style=social"/> : A collection of ChatGPT and GPT-3.5 instruction-based prompts for generating and classifying text. [prompts.maila.ai/](https://prompts.maila.ai/)
  - PlexPt/awesome-chatgpt-prompts-zh - chatgpt-prompts-zh?style=social"/> : ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。[chat.aimakex.com/](https://chat.aimakex.com/)
  - f/awesome-chatgpt-prompts - chatgpt-prompts?style=social"/> : This repo includes ChatGPT prompt curation to use ChatGPT better.
  - travistangvh/ChatGPT-Data-Science-Prompts - Data-Science-Prompts?style=social"/> : 🚀 ChatGPT Prompts for Data Science! A repository of 60 useful data science prompts for ChatGPT.
  - kevinamiri/Instructgpt-prompts - prompts?style=social"/> : A collection of ChatGPT and GPT-3.5 instruction-based prompts for generating and classifying text. [prompts.maila.ai/](https://prompts.maila.ai/)
Open API
- 提示语（魔法）
  - gpt4free
  - acheong08/ChatGPT
  - wong2/chatgpt-google-extension - google-extension?style=social"/> : A browser extension that enhance search engines with ChatGPT.
  - acheong08/EdgeGPT
  - gpt4free
  - acheong08/ChatGPT
  - wong2/chatgpt-google-extension - google-extension?style=social"/> : A browser extension that enhance search engines with ChatGPT.
  - acheong08/EdgeGPT
  - betalgo/openai - 3 , GPT-4, Azure OpenAI and DALL-E dotnet SDK. [betalgo.github.io/openai/](https://betalgo.github.io/openai/)
  - OkGoDoIt/OpenAI-API-dotnet - API-dotnet?style=social"/> : An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API. [www.nuget.org/packages/OpenAI/](https://www.nuget.org/packages/OpenAI/)
  - RageAgainstThePixel/OpenAI-DotNet - DotNet?style=social"/> : A Non-Official OpenAI RESTful API Client for dotnet.
  - PawanOsman/ChatGPT.Net
  - marcominerva/ChatGptNet
  - OkGoDoIt/OpenAI-API-dotnet - API-dotnet?style=social"/> : An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API. [www.nuget.org/packages/OpenAI/](https://www.nuget.org/packages/OpenAI/)
  - RageAgainstThePixel/OpenAI-DotNet - DotNet?style=social"/> : A Non-Official OpenAI RESTful API Client for dotnet.
  - PawanOsman/ChatGPT.Net
  - marcominerva/ChatGptNet
  - uiuifree/rust-openai-chatgpt-api - openai-chatgpt-api?style=social"/> : "rust-openai-chatgpt-api" is a Rust library for accessing the ChatGPT API, a powerful NLP platform by OpenAI. The library provides a simple and efficient interface for sending requests and receiving responses, including chat. It uses reqwest and serde for HTTP requests and JSON serialization.
  - uiuifree/rust-openai-chatgpt-api - openai-chatgpt-api?style=social"/> : "rust-openai-chatgpt-api" is a Rust library for accessing the ChatGPT API, a powerful NLP platform by OpenAI. The library provides a simple and efficient interface for sending requests and receiving responses, including chat. It uses reqwest and serde for HTTP requests and JSON serialization.
  - transitive-bullshit/chatgpt-api - bullshit/chatgpt-api?style=social"/> : Node.js client for the unofficial ChatGPT API. 🔥
Videos
- 数据集
Jobs and Interview
- 数据集

Programming Languages

Python 326 Rust 64 Jupyter Notebook 61 C++ 31 TypeScript 30 HTML 15 C# 11 C 8 Vue 8 JavaScript 5

Categories

Blogs 1,568 Summary 509 Applications 169 Interview 21 Open API 20 Datasets 17 Jobs and Interview 16 Prompts 7 Videos 6

Sub Categories

数据集 1,628 提示语（魔法） 196

Keywords

llm 112 chatgpt 107 large-language-models 65 llama 59 gpt 55 ai 52 openai 44 deep-learning 41 gpt-4 38 machine-learning 35 pytorch 31 llms 28 rust 28 chatbot 26 language-model 25 nlp 23 chinese 22 llama2 21 artificial-intelligence 20 python 19 natural-language-processing 18 chatglm 18 gpt-3 18 inference 17 transformer 16 instruction-tuning 15 rag 15 multimodal 15 llama3 15 langchain 14 llm-inference 14 computer-vision 14 rlhf 14 chat 13 stable-diffusion 13 aigc 12 gpt4 12 huggingface 12 lora 11 qwen 11 openai-api 11 awesome 10 embeddings 10 alpaca 10 transformers 10 nextjs 10 ollama 10 neural-network 10 fine-tuning 9 csharp 9