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Projects in Awesome Lists by WangRongsheng

A curated list of projects in awesome lists by WangRongsheng .

https://github.com/WangRongsheng/ChatGenTitle

🌟 ChatGenTitle:使用百万arXiv论文信息在LLaMA模型上进行微调的论文题目生成模型

arxiv large-language-models llama llm llms lora

Last synced: 02 Aug 2024

https://github.com/WangRongsheng/XrayGLM

🩺 首个会看胸部X光片的中文多模态医学大模型 | The first Chinese Medical Multimodal Model that Chest Radiographs Summarization.

large-language-models llms medical multimodal visualglm-6b xray

Last synced: 01 Aug 2024

https://github.com/wangrongsheng/caregpt

🌞 CareGPT (关怀GPT)是一个医疗大语言模型,同时它集合了数十个公开可用的医疗微调数据集和开放可用的医疗大语言模型,包含LLM的训练、测评、部署等以促进医疗LLM快速发展。Medical LLM, Open Source Driven for a Healthy Future.

baichuan gpt large-language-models llama llama2 medical-llm

Last synced: 02 Aug 2024

https://github.com/WangRongsheng/CareGPT

🌞 CareGPT (关怀GPT)是一个医疗大语言模型,同时它集合了数十个公开可用的医疗微调数据集和开放可用的医疗大语言模型,包含LLM的训练、测评、部署等以促进医疗LLM快速发展。Medical LLM, Open Source Driven for a Healthy Future.

baichuan gpt large-language-models llama llama2 medical-llm

Last synced: 01 Aug 2024

https://github.com/WangRongsheng/MedQA-ChatGLM

🛰️ 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

chatglm-6b chatgpt dataset fine-tuning freeze huggingface large-language-models llms lora medical rlhf transformer

Last synced: 02 Aug 2024

https://github.com/WangRongsheng/BestYOLO

🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!

artificial-intelligence deep-learning object-detection pyqt5 resnet small-object-detection tfjs yolov5

Last synced: 02 Aug 2024

https://github.com/WangRongsheng/KDAT

💥一个专为视觉方向目标检测全流程的标注工具集,全称:Kill Object Detection Annotation Tools。

detection labelimg mmdetection object-detection paddledetection voc yolo yolov3 yolov4 yolov5 yolox

Last synced: 02 Aug 2024

https://github.com/WangRongsheng/IvyGPT

[CICAI 2023] 💊 产生最贴近真实医生问诊效果的医疗大语言模型IvyGPT

large-language-models llm

Last synced: 01 Aug 2024

https://github.com/WangRongsheng/Statistical-learning-method-lihang

《统计学习方法》,作者李航,本书全面系统地介绍了统计学习的主要内容

Last synced: 03 Aug 2024