awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
Kent0n-Li avatar

Kent0n-Li/ChatDoctor

0
View on GitHub↗
3,629 stars·426 forks·Python·Apache-2.0·14 views

ChatDoctor

Yunxiang Li 1 , Zihan Li 2 , Kai Zhang 3 , Ruilong Dan 4 , Steve Jiang 1 , You Zhang 1 1 UT Southwestern Medical Center, USA 2 University of Illinois at Urbana-Champaign, USA 3 Ohio State University, USA 4 Hangzhou Dianzi University, China

Features

  • Domain Specific Bots - Provides medical consultation based on clinical dialogue data.
  • Domain Specific Models - Fine-tunes models on medical domain knowledge.
  • Medical Domain Models - Medical model based on LLaMA for clinical Q&A.

Star history

Star history chart for kent0n-li/chatdoctorStar history chart for kent0n-li/chatdoctor

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Frequently asked questions

What does kent0n-li/chatdoctor do?

Yunxiang Li 1 , Zihan Li 2 , Kai Zhang 3 , Ruilong Dan 4 , Steve Jiang 1 , You Zhang 1 1 UT Southwestern Medical Center, USA 2 University of Illinois at Urbana-Champaign, USA 3 Ohio State University, USA 4 Hangzhou Dianzi University, China

What are the main features of kent0n-li/chatdoctor?

The main features of kent0n-li/chatdoctor are: Domain Specific Bots, Domain Specific Models, Medical Domain Models.

Which projects share features with kent0n-li/chatdoctor?

Projects with overlapping indexed features include: fudandisc/disc-medllm — Repository of DISC-MedLLM, it is a comprehensive solution that leverages Large Language Models (LLMs) to provide… synlp/chimed-gpt — ChiMed-GPT is a Chinese medical large language model (LLM) built by continually training Ziya-v2 on Chinese medical… freedomintelligence/huatuogpt — HuatuoGPT, Towards Taming Language Models To Be a Doctor. (An Open Medical GPT). chaoyi-wu/pmc-llama — The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine". scir-hi/huatuo-llama-med-chinese — Huatuo-Llama-Med-Chinese is a medical large language model specialized in processing and generating natural language… xionghonglin/doctorglm — 基于ChatGLM-6B的中文问诊模型.

Projects sharing features with ChatDoctor

These projects share indexed features with ChatDoctor. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • freedomintelligence/huatuogptFreedomIntelligence avatar

    FreedomIntelligence/HuatuoGPT

    1,312View on GitHub↗

    HuatuoGPT, Towards Taming Language Models To Be a Doctor. (An Open Medical GPT)

    Python
    View on GitHub↗1,312
  • fudandisc/disc-medllmFudanDISC avatar

    FudanDISC/DISC-MedLLM

    565View on GitHub↗

    Repository of DISC-MedLLM, it is a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthcare services.

    Python
    View on GitHub↗565
  • chaoyi-wu/pmc-llamachaoyi-wu avatar

    chaoyi-wu/PMC-LLaMA

    678View on GitHub↗

    The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"

    Python
    View on GitHub↗678
  • scir-hi/huatuo-llama-med-chineseSCIR-HI avatar

    SCIR-HI/Huatuo-Llama-Med-Chinese

    4,971View on GitHub↗

    Huatuo-Llama-Med-Chinese is a medical large language model specialized in processing and generating natural language text in Chinese. It is an instruction-tuned system designed to answer professional healthcare questions by leveraging a dedicated medical knowledge base. The model integrates structured medical literature and knowledge graphs to ensure clinical accuracy during response generation. It employs knowledge-graph augmented inference to combine structured entity relationships with neural network outputs. The system is developed through domain-specific weight adaptation, cross-lingual

    Pythonaidoctorbloomchinese
    View on GitHub↗4,971
Compare all 30 related projects→