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Achievement: Starstruckx4Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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Achievement: Starstruckx4Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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WangRongsheng/README.md

王荣胜｜Rongsheng Wang

Profile Details Repositories per Language Most Commits Language Statistics Productive Time

Aurora GitHub Repo MedQA-ChatGLM GitHub Repo
BestYOLO GitHub Repo Use-LLMs-in-Colab GitHub Repo
ChatGenTitle GitHub Repo SAM-fine-tune GitHub Repo
XrayGLM GitHub Repo IvyGPT GitHub Repo
make-your-yolov5_dataset GitHub Repo Machine-Mindset GitHub Repo
Medical_NLP GitHub Repo awesome-Project-Homepage-template GitHub Repo

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  1. show me the code.jpeg
  2. kaixindelele/ChatPaper Public

    Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

    Python 18.8k 2k

  3. CareGPT Public archive

    🌞 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.

    Python 859 114

  4. XrayGLM Public

    🩺 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.

    Python 964 130

  5. awesome-LLM-resourses Public

    🧑‍🚀 全世界最好的LLM资料总结（数据处理、模型训练、模型部署、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

    4.4k 455

  6. Med-R1 Public

    Encourage Medical LLM to engage in deep thinking similar to DeepSeek-R1.

    Python 19

1,912 contributions in the last year

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Activity overview

Contributed to WangRongsheng/WangRongsheng.github.io, WangRongsheng/awesome-LLM-resourses, WangRongsheng/wrsArxiv and 68 other repositories
Loading A graph representing WangRongsheng's contributions from March 17, 2024 to March 23, 2025. The contributions are 97% commits, 3% issues, 0% pull requests, 0% code review.

Contribution activity

March 2025

Created 1 repository

Created an issue in hao-ai-lab/FastVideo that received 4 comments

How to set up preprocess_hunyuan_data.sh?

Motivation I have 8*A800 (80GB), how do I set the following parameters to make it meet my requirements? torchrun --nproc_per_node=$GPU_NUM \ fastvideo

4 comments
Opened 3 other issues in 2 repositories
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