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https://github.com/zhimin-z/awesome-awesome-artificial-intelligence
A curated list of awesome curated lists of many topics related to artificial intelligence.
https://github.com/zhimin-z/awesome-awesome-artificial-intelligence
List: awesome-awesome-artificial-intelligence
artificial-intelligence awesome-list deep-learning machine-learning
Last synced: 5 days ago
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A curated list of awesome curated lists of many topics related to artificial intelligence.
- Host: GitHub
- URL: https://github.com/zhimin-z/awesome-awesome-artificial-intelligence
- Owner: zhimin-z
- License: mit
- Created: 2023-03-14T14:48:22.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-30T12:51:50.000Z (3 months ago)
- Last Synced: 2024-12-05T15:16:17.738Z (16 days ago)
- Topics: artificial-intelligence, awesome-list, deep-learning, machine-learning
- Homepage:
- Size: 403 KB
- Stars: 123
- Watchers: 5
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- ultimate-awesome - awesome-awesome-artificial-intelligence - A curated list of awesome curated lists of many topics related to artificial intelligence. (Programming Language Lists / Python Lists)
README
Awesome Awesome Artificial Intelligence
**Awesome Awesome Artificial Intelligence** contains many awesome topics closely related to artificial intelligence.
We also provide a [search toolkit](https://huggingface.co/spaces/zhiminy/awesome-awesome-artificial-intelligence-search) that helps you quickly navigate the awesome lists.
_If you want to contribute to this list (please do), welcome to [propose a pull request](https://github.com/zhimin-z/awesome-awesome-artificial-intelligence/fork)._
_If you have suggestions, critiques, or questions regarding this list, welcome to [raise an issue](https://github.com/zhimin-z/awesome-awesome-artificial-intelligence/issues/new)._
Also, a listed repository should be excluded if:
* It is not popular enough ($\lt\sim500$ stars).
* It is not actively maintained ($\gt\sim1$ year).
**Notice:** Thanks to the static nature of the markdown format, we do not intend to assign multiple categories to any single entry.
# General
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome AI-ML-DL](https://github.com/neomatrix369/awesome-ai-ml-dl) | Artificial intelligence, machine learning, and deep learning. |  |
| [Awesome AI Tools](https://github.com/ikaijua/Awesome-AITools) | Utilities of artificial intelligence. |  |
| [Awesome Artificial Intelligence](https://github.com/owainlewis/awesome-artificial-intelligence) | Artificial intelligence courses, books, video lectures and papers. |  |
| [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning) | Deep learning tutorials, projects, and communities. |  |
| [Awesome Deep Learning Resources](https://github.com/endymecy/awesome-deeplearning-resources) | Recent papers regarding deep learning. |  |
| [Awesome Generative AI](https://github.com/filipecalegario/awesome-generative-ai) | Projects, tools, artworks, and models on generative AI. |  |
| [Awesome Generative AI](https://github.com/steven2358/awesome-generative-ai) | Projects and services on generative AI. |  |
| [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning) | Machine learning frameworks, libraries, and software. |  |
| [Awesome ML](https://github.com/underlines/awesome-ml) | Resources on machine learning, analytics, and data science. |  |
| [Awesome Open Data-centric AI](https://github.com/Renumics/awesome-open-data-centric-ai) | Tools for data-centric AI on unstructured data. |  |
| [Awesome Project Ideas](https://github.com/NirantK/awesome-project-ideas) | Practical deep learning and machine learning project ideas. |  |
| [Awesome Rust Machine Learning](https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning) | Machine learning libraries written in Rust. |  |
# Compute-specific
## Alignment & Regulation
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome AI Guidelines](https://github.com/EthicalML/awesome-artificial-intelligence-guidelines) | Artificial intelligence guidelines, principles, codes of ethics, standards, regulations, and beyond. |  |
| [Awesome RLHF](https://github.com/opendilab/awesome-RLHF) | Research papers for reinforcement learning with human feedback. |  |
## AutoML
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome AutoDL](https://github.com/D-X-Y/Awesome-AutoDL) | Resources for automated deep learning. |  |
| [Awesome AutoML Papers](https://github.com/hibayesian/awesome-automl-papers) | Automated machine learning papers, articles, tutorials, slides, and projects. |  |
## Compilation
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Tensor Compilers](https://github.com/merrymercy/awesome-tensor-compilers) | Compiler projects and papers for tensor computation and deep learning. |  |
## Compression
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Pruning](https://github.com/he-y/Awesome-Pruning) | Neural network pruning resources. |  |
## Efficiency & Performance
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome EMDL](https://github.com/csarron/awesome-emdl) | Deep learning research resources on embedded and mobile. |  |
## Explainability & Interpretability
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Explainable AI](https://github.com/wangyongjie-ntu/Awesome-explainable-AI) | Research materials on explainable AI. |  |
| [Awesome Explainable Graph Reasoning](https://github.com/AstraZeneca/awesome-explainable-graph-reasoning) | Research papers and software related to explainability in graph machine learning. |  |
| [Awesome LLM Interpretability](https://github.com/JShollaj/awesome-llm-interpretability) | LLM Interpretability resources. |  |
| [Awesome Machine Learning Interpretability](https://github.com/jphall663/awesome-machine-learning-interpretability) | Machine learning interpretability resources. |  |
## Privacy & Security
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Blockchain AI](https://github.com/steven2358/awesome-blockchain-ai) | Blockchain projects for artificial intelligence and machine learning. |  |
| [Awesome Federated Learning](https://github.com/poga/awesome-federated-learning) | Resources related to federated learning and privacy in machine learning. |  |
| [Awesome Federated Learning Resources](https://github.com/youngfish42/Awesome-FL) | Papers, frameworks, and datasets of federated learning on graph and tabular data. |  |
| [Awesome Federated Machine Learning](https://github.com/innovation-cat/Awesome-Federated-Machine-Learning) | Federated learning, including research papers, books, codes, tutorials, videos, and beyond. |  |
| [Awesome GPTs (Agents) for Cybersecurity](https://github.com/fr0gger/Awesome-GPT-Agents) | GPT agents for cybersecurity. |  |
| [Awesome LLM Safety](https://github.com/ydyjya/Awesome-LLM-Safety) | Tools, documents, and projects about LLM Security. |  |
| [Awesome LLM Security](https://github.com/corca-ai/awesome-llm-security) | Safety-related papers, articles, and resources focused on LLMs. |  |
## Robustness
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Graph Adversarial Learning](https://github.com/EdisonLeeeee/Graph-Adversarial-Learning) |Resources for adversarial attack and defense on graph data. |  |
| [Awesome Graph Adversarial Learning Literature](https://github.com/safe-graph/graph-adversarial-learning-literature) | Adversarial attacks and defenses papers on graph-structured data. |  |
| [Awesome Imbalanced Learning](https://github.com/ZhiningLiu1998/awesome-imbalanced-learning) | Resources on class-imbalanced/long-tail learning. |  |
## System & Production
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome LLMOps](https://github.com/tensorchord/Awesome-LLMOps) | LLMOps tools for developers. |  |
| [Awesome LLM Systems Papers](https://github.com/AmberLJC/LLMSys-PaperList) | LLM-related academic papers, articles, tutorials, slides, and projects. |  |
| [Awesome MLOps](https://github.com/visenger/awesome-mlops) | MLOps resources. |  |
| [Awesome MLOps](https://github.com/kelvins/awesome-mlops) | MLOps tools. |  |
| [Awesome Production Machine Learning](https://github.com/EthicalML/awesome-production-machine-learning) | Libraries that will help you deploy, monitor, version, scale, and secure machine learning productionization. |  |
| [Awesome System for Machine Learning](https://github.com/HuaizhengZhang/Awesome-System-for-Machine-Learning) | Research in machine learning systems. |  |
# Learning Paradigm
## Adversarial Learning
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome GAN](https://github.com/nightrome/really-awesome-gan) | Resources for generative adversarial networks. |  |
| [Awesome GAN for Medical Imaging](https://github.com/xinario/awesome-gan-for-medical-imaging) | GAN resources in medical imaging. |  |
| [Awesome KAN](https://github.com/mintisan/awesome-kan) | Libraries, projects, tutorials, papers, and other resources related to Kolmogorov-Arnold Network (KAN). |  |
## Graph Learning
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Graph Classification](https://github.com/benedekrozemberczki/awesome-graph-classification) | Graph classification methods, covering embedding, deep learning, graph kernel, and factorization papers with reference implementations. |  |
| [Awesome Graph LLM](https://github.com/XiaoxinHe/Awesome-Graph-LLM) | Resources for graph-related LLMs. |  |
| [Awesome Graph Neural Networks](https://github.com/GRAND-Lab/Awesome-Graph-Neural-Networks) | Resources related to graph neural networks. |  |
| [Awesome Graph Self-Supervised Learning](https://github.com/LirongWu/awesome-graph-self-supervised-learning) | Self-supervised graph representation learning resources. |  |
| [Awesome Knowledge Graph](https://github.com/totogo/awesome-knowledge-graph) | Tutorials, databases, tools, and other resources for knowledge graphs. |  |
| [Awesome Knowledge Graph](https://github.com/BrambleXu/knowledge-graph-learning) | Tutorials, projects, and communities for knowledge graph. |  |
| [Awesome Knowledge Graph Reasoning](https://github.com/LIANGKE23/Awesome-Knowledge-Graph-Reasoning) | Collections of knowledge graph reasoning works, including papers, codes, and datasets. |  |
| [Awesome Language Model on Graphs](https://github.com/PeterGriffinJin/Awesome-Language-Model-on-Graphs) | Papers on leveraging LLLMs in graph tasks. |  |
| [Awesome LLMs in Graph Tasks](https://github.com/yhLeeee/Awesome-LLMs-in-Graph-tasks) | Papers and resources about LLMs on graphs. |  |
| [Awesome Self-supervised GNN](https://github.com/ChandlerBang/awesome-self-supervised-gnn) | Papers on self-supervised learning on graph neural networks. |  |
## Reinforcement Learning
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Deep RL](https://github.com/kengz/awesome-deep-rl) | Deep reinforcement learning resources. |  |
| [Awesome Game AI](https://github.com/datamllab/awesome-game-ai) | Resources for multi-agent reinforcement learning. |  |
| [Awesome Offline RL](https://github.com/hanjuku-kaso/awesome-offline-rl) | Research for offline reinforcement learning. |  |
| [Awesome RL](https://github.com/aikorea/awesome-rl) | Resources dedicated to reinforcement learning. |  |
## Supervised Learning
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Contrastive Self-supervised Learning](https://github.com/asheeshcric/awesome-contrastive-self-supervised-learning) | Research on contrastive self-supervised learning. |  |
| [Awesome Instruction Tuning Dataset](https://github.com/yaodongC/awesome-instruction-dataset) | Datasets to train instruction-following LLMs. |  |
| [Awesome Learning with Noise Labels](https://github.com/subeeshvasu/Awesome-Learning-with-Label-Noise) | Resources for learning with noisy labels. |  |
| [Awesome Self-supervised Learning](https://github.com/jason718/awesome-self-supervised-learning) | Resources on self-supervised learning. |  |
| [Awesome Semi-supervised Learning](https://github.com/yassouali/awesome-semi-supervised-learning) | Resources on semi-supervised learning. |  |
# Domain-specific
## Agent
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome AI Agent](https://github.com/e2b-dev/awesome-ai-agents) | AI autonomous agents. |  |
| [Awesome Embodied Agent with LLMs](https://github.com/zchoi/Awesome-Embodied-Agent-with-LLMs) | Embodied agents based on LLMs. |  |
| [Awesome Mixture-of-Experts](https://github.com/lafmdp/Awesome-Papers-Autonomous-Agent) | Resources about mixture-of-experts (MoE). |  |
| [Awesome LLM-Powered Agent](https://github.com/hyp1231/awesome-llm-powered-agent) | LLM-powered agents. |  |
| [Awesome Papers Autonomous Agent](https://github.com/lafmdp/Awesome-Papers-Autonomous-Agent) | Papers focusing on autonomous agents. |  |
## Anomaly Detection
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Industrial Anomaly Detection](https://github.com/M-3LAB/awesome-industrial-anomaly-detection) | Papers and datasets for industrial anomaly detection. |  |
## Audio Processing
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Speech Recognition Speech Synthesis Papers](https://github.com/zzw922cn/awesome-speech-recognition-speech-synthesis-papers) | Resources regarding speech recognition and speech synthesis. |  |
| [Awesome Whisper](https://github.com/sindresorhus/awesome-whisper) | Resources for Whisper. |  |
## Computer Vision
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome AI Image Synthesis](https://github.com/altryne/awesome-ai-art-image-synthesis) | Tools, ideas, models, and helpers for the prompt designer playing with AI art and image synthesis. |  |
| [Awesome Diffusion Models](https://github.com/diff-usion/Awesome-Diffusion-Models) | Resources for diffusion models. |  |
| [Awesome Face Forgery Generation and Detection](https://github.com/clpeng/Awesome-Face-Forgery-Generation-and-Detection) | Articles and codes related to face forgery generation and detection. |  |
| [Awesome Image Classification](https://github.com/weiaicunzai/awesome-image-classification) | Image classification papers and codes in deep learning. |  |
| [Awesome Image Colorization](https://github.com/MarkMoHR/Awesome-Image-Colorization) | Deep learning-based image colorization and video colorization papers. |  |
| [Awesome Image Harmonization](https://github.com/bcmi/Awesome-Image-Harmonization) | Papers, code, and resources of image harmonization. |  |
| [Awesome Image Registration](https://github.com/Awesome-Image-Registration-Organization/awesome-image-registration) | Books, papers, videos, and toolboxes related to image registration. |  |
| [Awesome Image Translation](https://github.com/weihaox/awesome-image-translation) | Resources image-to-image translation. |  |
| [Awesome LLMs for Video Understanding](https://github.com/yunlong10/Awesome-LLMs-for-Video-Understanding) | Papers, codes and datasets on Vid-LLMs. |  |
| [Awesome Neural Radiance Fields](https://github.com/awesome-NeRF/awesome-NeRF) | Resources related to neural radiance fields. |  |
| [Awesome Open Set Recognition list](https://github.com/iCGY96/awesome_OpenSetRecognition_list) | Resources related to open set recognition, out-of-distribution, open set domain adaptation, and open world recognition. |  |
| [Awesome Person Re-identification](https://github.com/bismex/Awesome-person-re-identification) | Articles for person re-identification. |  |
| [Awesome Prompting Papers in Computer Vision](https://github.com/ttengwang/Awesome_Prompting_Papers_in_Computer_Vision) | Prompt-based papers in computer vision and vision-language learning. |  |
| [Awesome Stable Diffusion](https://github.com/awesome-stable-diffusion/awesome-stable-diffusion) | Resources for generative adversarial networks. |  |
| [Awesome Talking Face](https://github.com/JosephPai/Awesome-Talking-Face) | Resources for talking face generation. |  |
| [Awesome Talking Face Generation](https://github.com/YunjinPark/awesome_talking_face_generation) | Resources for talking face generation. |  |
| [Awesome Talking Head Generation](https://github.com/harlanhong/awesome-talking-head-generation) | Resources for image-driven talking head generation. |  |
| [Awesome Video Diffusion](https://github.com/showlab/Awesome-Video-Diffusion) | Diffusion models for video generation, editing, restoration, understanding, etc.. |  |
## Finance
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome AI in Finance](https://github.com/georgezouq/awesome-ai-in-finance) | Machine learning strategies and tools in the financial market. |  |
## Knowledge Engineering
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Vector Search](https://github.com/currentslab/awesome-vector-search) | Collections of vector search-related libraries, services, and research papers. |  |
## Mathematics
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Machine Learning for Combinatorial Optimization Resources](https://github.com/Thinklab-SJTU/awesome-ml4co) | Resources that utilize machine learning technologies to solve combinatorial optimization problems. |  |
| [Awesome Neural ODE](https://github.com/Zymrael/awesome-neural-ode) | Resources regarding the interplay between differential equations, deep learning, dynamical systems, control, and numerical methods. |  |
## Miscellaneous
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Domain LLM](https://github.com/luban-agi/Awesome-Domain-LLM) | Models, datasets, and evaluation benchmarks for various domains. |  |
## Multi-modal learning
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome LLM 3D](https://github.com/ActiveVisionLab/Awesome-LLM-3D) | Multi-modal large language models in 3D world resources. |  |
| [Awesome Multimodal Large Language Models](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models) | Multimodal large language models (MLLM). |  |
| [Awesome Multimodal Machine Learning](https://github.com/pliang279/awesome-multimodal-ml) | Research topics in multimodal machine learning. |  |
| [Awesome Multimodal Research](https://github.com/Eurus-Holmes/Awesome-Multimodal-Research) | Multimodal-related research. |  |
## Natural Language Processing
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome ChatGPT](https://github.com/humanloop/awesome-chatgpt) | Tools, demos, and docs for ChatGPT and GPT-3. |  |
| [Awesome ChatGPT](https://github.com/sindresorhus/awesome-chatgpt) | ChatGPT resources. |  |
| [Awesome ChatGPT](https://github.com/eon01/awesome-chatgpt) | ChatGPT resources, including libraries, SDKs, APIs, and more. |  |
| [Awesome ChatGPT](https://github.com/OpenMindClub/awesome-chatgpt) | Resources, tools, applications, and usages of ChatGPT. |  |
| [Awesome ChatGPT](https://github.com/awesome-chatgpt/awesome-chatgpt) | Tools, documents, applications, and use cases for ChatGPT. |  |
| [Awesome ChatGPT](https://github.com/Kamigami55/awesome-chatgpt) | Resources, tools, applications, and usages of ChatGPT. |  |
| [Awesome ChatGPT](https://github.com/saharmor/awesome-chatgpt) | ChatGPT resources, including demos, tools, articles, and more. |  |
| [Awesome ChatGPT API](https://github.com/reorx/awesome-chatgpt-api) | Apps and tools that not only use the new ChatGPT API but also allow users to configure their API keys, enabling free and on-demand usage of their quota. |  |
| [Awesome ChatGPT Dataset](https://github.com/voidful/awesome-chatgpt-dataset) | Prompts to datasets to train LLMs. |  |
| [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts) | Prompts to use ChatGPT better. |  |
| [Awesome ChatGPT Prompts (CN)](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) | Chinese prompts to use ChatGPT better. |  |
| [Awesome ChatGPT Repositories](https://github.com/taishi-i/awesome-ChatGPT-repositories) | Resources dedicated to open-source GitHub repositories related to ChatGPT. |  |
| [Awesome Chinese LLM](https://github.com/HqWu-HITCS/Awesome-Chinese-LLM) | Resources for LLM in Chinese. |  |
| [Awesome Deep Learning for Natural Language Processing](https://github.com/brianspiering/awesome-dl4nlp) | Deep learning for natural language processing resources. |  |
| [Awesome Efficient LLM](https://github.com/horseee/Awesome-Efficient-LLM) | Resources for efficient large language models. |  |
| [Awesome Free ChatGPT](https://github.com/LiLittleCat/awesome-free-chatgpt) | Resources for ChatGPT mirror sites. |  |
| [Awesome GPT](https://github.com/formulahendry/awesome-gpt) | Resources related to GPT, ChatGPT, OpenAI, LLM, and more. |  |
| [Awesome GPT Store](https://github.com/Anil-matcha/Awesome-GPT-Store) | GPTS available in public. |  |
| [Awesome GPT Store](https://github.com/devisasari/awesome-gpt-store) | GPTs in the GPT Store. |  |
| [Awesome-GPTs](https://github.com/ai-boost/awesome-gpts) | GPTs on the OpenAI platform. |  |
| [Awesome GPTs](https://github.com/taranjeet/awesome-gpts) | GPTs created by the community. |  |
| [Awesome GPTs Prompts](https://github.com/ai-boost/awesome-prompts) | Prompts from the top-rated GPTs in the GPTs Store. |  |
| [Awesome GPT-3](https://github.com/elyase/awesome-gpt3) | Demos and articles about the OpenAI GPT-3 API. |  |
| [Awesome GPT-4](https://github.com/radi-cho/awesome-gpt4) | Prompts, tools, and resources regarding the GPT-4 language model. |  |
| [Awesome LangChain](https://github.com/kyrolabs/awesome-langchain) | Tools and projects with the LangChain framework. |  |
| [Awesome LLM](https://github.com/Hannibal046/Awesome-LLM) | Large language models. |  |
| [Awesome LLMs Datasets](https://github.com/lmmlzn/Awesome-LLMs-Datasets) | Representative LLMs text datasets. |  |
| [Awesome LLMs Evaluation Papers](https://github.com/tjunlp-lab/Awesome-LLMs-Evaluation-Papers) | Evaluation papers for LLMs. |  |
| [Awesome LLMs in China](https://github.com/wgwang/awesome-LLMs-In-China) | LLMOps tools for developers. |  |
| [Awesome LLM Apps](https://github.com/Shubhamsaboo/awesome-llm-apps) | LLM apps built with Retrieval Augmented Generation (RAG) and AI agents. |  |
| [Awesome LLM Inference](https://github.com/DefTruth/Awesome-LLM-Inference) | LLM inference papers with code. |  |
| [Awesome LLM JSON List](https://github.com/imaurer/awesome-llm-json) | Resources for using LLMs to generate JSON or other structured outputs. |  |
| [Awesome LLM KG](https://github.com/RManLuo/Awesome-LLM-KG) | Papers about unifying LLMs and KGs. |  |
| [Awesome LLM Long Context Modeling](https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling) | Must-read papers and blogs on LLM-based long context modeling. |  |
| [Awesome LLM RAG](https://github.com/jxzhangjhu/Awesome-LLM-RAG) | Advanced papers of RAG in LLMs. |  |
| [Awesome LLM RAG Application](https://github.com/lizhe2004/Awesome-LLM-RAG-Application) | Application resources based on LLM with RAG pattern. |  |
| [Awesome LLM Reasoning](https://github.com/atfortes/Awesome-LLM-Reasoning) | Papers and resources on unlocking the reasoning ability of LLMs and MLLMs. |  |
| [Awesome LLM Resourses](https://github.com/WangRongsheng/awesome-LLM-resourses) | Summary of the world's best LLM resources. |  |
| [Awesome LLM Strawberry](https://github.com/hijkzzz/Awesome-LLM-Strawberry) | Research papers & blogs for OpenAI Strawberry(o1) and Reasoning. |  |
| [Awesome Pretrained Chinese NLP Models](https://github.com/lonePatient/awesome-pretrained-chinese-nlp-models) | Pre-trained NLP models in Chinese. |  |
| [Awesome Prompt Engineering](https://github.com/promptslab/Awesome-Prompt-Engineering) | Resources for prompt engineering. |  |
| [Awesome Question Answering](https://github.com/dapurv5/awesome-question-answering) | Resources on question answering. |  |
| [Awesome Totally Open Chatgpt](https://github.com/nichtdax/awesome-totally-open-chatgpt) | Open alternatives to ChatGPT. |  |
## Recommendation System
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Deep Learning Papers for Search Recommendation Advertising](https://github.com/guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising) | Deep learning papers for industrial search, recommendation, and advertisement. |  |
| [Awesome LLM for RecSys](https://github.com/CHIANGEL/Awesome-LLM-for-RecSys) | Papers and resources for LLM-related recommender system topics. |  |
| [Awesome LLM4Rec Papers](https://github.com/WLiK/LLM4Rec-Awesome-Papers) | Deep learning papers for industrial search, recommendation, and advertisement. |  |
| [Awesome LLM4RS Papers](https://github.com/nancheng58/Awesome-LLM4RS-Papers) | LLM-enhanced recommender system. |  |
## Remote Sensing
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Remote Sensing Foundation Models](https://github.com/Jack-bo1220/Awesome-Remote-Sensing-Foundation-Models) | Papers, datasets, benchmarks, code, and pre-trained weights for remote sensing foundation models (RSFMs). |  |
## Robotics
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome LLM Robotics](https://github.com/GT-RIPL/Awesome-LLM-Robotics) | Resources using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites. |  |
| [Awesome Robotics](https://github.com/kiloreux/awesome-robotics) | Books, courses, and other resources for robotics. |  |
| [Awesome Robotics Foundation Models](https://github.com/endymecy/awesome-deeplearning-resources) | Resources regarding robotics-specific foundation models. |  |
| [Awesome Robotics Project](https://github.com/mjyc/awesome-robotics-projects) | Open-source, affordable, less-known, or visionary robotics projects, and robotics tooling companies. |  |
## Software Engineering
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome AIOps](https://github.com/linjinjin123/awesome-AIOps) | Resources for AIOps. |  |
| [Awesome Machine Learning for Compilers and Program Optimisation](https://github.com/zwang4/awesome-machine-learning-in-compilers) | Research papers, datasets, and tools for applying machine learning techniques to compilers and program optimization. |  |
## Time Series
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Time Series](https://github.com/cuge1995/awesome-time-series) | Papers, code, and other resources for time series forecasting. |  |
| [Awesome Time Series](https://github.com/lmmentel/awesome-time-series) | Resources for time series forecasting. |  |
| [Awesome Time Series Anomaly Detection](https://github.com/rob-med/awesome-TS-anomaly-detection) | Tools and datasets for anomaly detection on time-series data. |  |
## Transformer
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Detection Transformer](https://github.com/IDEA-Research/awesome-detection-transformer) | Papers for detection and segmentation with Transformer. |  |
| [Awesome Transformers](https://github.com/abacaj/awesome-transformers) | Transformer models. |  |
| [Awesome Transformer Attention](https://github.com/cmhungsteve/Awesome-Transformer-Attention) | Vision Transformers and attention, including papers, codes, and related websites. |  |
| [Awesome Transformers in Medical Imaging](https://github.com/fahadshamshad/awesome-transformers-in-medical-imaging) | Resources on applications of Transformer in medical imaging. |  |
| [Awesome Transformer NLP](https://github.com/cedrickchee/awesome-transformer-nlp) | NLP resources focused on the Transformer, attention mechanism, etc.. |  |
| [Awesome Visual Transformer](https://github.com/dk-liang/Awesome-Visual-Transformer) | Research about Transformer with vision. |  |
## Miscellaneous
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome Equivariant Network](https://github.com/Chen-Cai-OSU/awesome-equivariant-network) | Papers for equivariant neural networks. |  |
| [Awesome Neural Geometry](https://github.com/neurreps/awesome-neural-geometry) | Resources related to the geometry of representations in the brain, deep networks, and beyond. |  |
# Courses
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome AIGC Tutorials](https://github.com/luban-agi/awesome-aigc-tutorials) | Tutorials and resources for large language models, AI painting, and more. |  |
| [Awesome Machine Learning and AI Courses](https://github.com/luspr/awesome-ml-courses) | Free machine learning and AI courses with video lectures. |  |
| [Awesome Summer School in Machine Learning](https://github.com/sshkhr/awesome-mlss) | Summer schools in machine learning + related fields across the globe. |  |
# Career
| Name | Description | Popularity |
| ---- | ----------- | ---------- |
| [Awesome AI Residency](https://github.com/dangkhoasdc/awesome-ai-residency) | AI residency programs. |  |