zhuanson

zhuanson's Stars

• MikeGu721/XiezhiBenchmark

  Language:Python914

• Andy-jqa/bioelmo

  BioELMo is a biomedical version of embeddings from language model (ELMo), pre-trained on PubMed abstracts.

  334

• ncbi/MedCPT

  Code for MedCPT, a model for zero-shot biomedical information retrieval.

  Language:Python13815

• stanford-crfm/BioMedLM

  Language:Python60764

• uf-hobi-informatics-lab/GatorTron

  all scripts used in gatortron project

  Language:Python11118

• HIT-SCIR/huozi

  活字通用大模型

  Language:Python35221

• king-yyf/CMeKG_tools

  Language:Python1.1k401

• LlamaFamily/Llama-Chinese

  Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用

  Language:Python14k1.3k

• OpenBuddy/OpenBuddy

  Open Multilingual Chatbot for Everyone

  1.2k70

• CLUEbenchmark/SuperCLUE-Llama2-Chinese

  Llama2开源模型中文版-全方位测评，基于SuperCLUE的OPEN基准 | Llama2 Chinese evaluation with SuperCLUE

  1278

• jeinlee1991/chinese-llm-benchmark

  中文大模型能力评测榜单：目前已囊括128个大模型，覆盖chatgpt、gpt-4o、谷歌gemini、百度文心一言、阿里通义千问、百川、讯飞星火、商汤senseChat、minimax等商用模型， 以及qwen2.5、llama3.1、glm4、书生internLM2.5、openbuddy、AquilaChat等开源大模型。不仅提供能力评分排行榜，也提供所有模型的原始输出结果！

  2.8k129

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook15.1k2.2k

• uni-medical/SAM-Med3D

  SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

  Language:Python51467

• OpenGVLab/SAM-Med2D

  Official implementation of SAM-Med2D

  Language:Jupyter Notebook87382

• synlp/ChiMed-GPT

  ChiMed-GPT is a Chinese medical large language model (LLM) built by continually training Ziya-v2 on Chinese medical data, where pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF) are comprehensively performed on it.

  749

• winninghealth/WiNGPT2

  WiNGPT是一个基于GPT的医疗垂直领域大模型，旨在将专业的医学知识、医疗信息、数据融会贯通，为医疗行业提供智能化的医疗问答、诊断支持和医学知识等信息服务，提高诊疗效率和医疗服务质量。

  Language:Python32418

• DUTIR-BioNLP/Taiyi-LLM

  Biomedical LLM, A Bilingual (Chinese and English) Fine-Tuned Large Language Model for Diverse Biomedical Tasks

  Language:Python14024

• FudanDISC/DISC-MedLLM

  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.

  Language:Python48644

• 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.

  Language:Python754102

• scutcyr/SoulChat

  中文领域心理健康对话大模型SoulChat

  Language:Python48152

• michael-wzhu/ShenNong-TCM-LLM

  Repo for ShenNong-TCM-LLM (“神农”大模型，首个中医药中文大模型)

  Language:Python29849

• X-D-Lab/Sunsimiao

  🌿孙思邈中文医疗大模型(Sunsimiao)：提供安全、可靠、普惠的中文医疗大模型

  Language:Python39423

• shibing624/MedicalGPT

  MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO。

  Language:Python3.3k500

• qiuhuachuan/smile

  [EMNLP 2024] 中文领域心理健康对话大模型MeChat

  Language:Python36243

• xionghonglin/DoctorGLM

  基于ChatGLM-6B的中文问诊模型

  Language:Python77686

• michael-wzhu/ChatMed

  ChatMed: 中文医疗大模型，善于在线回答患者/用户的日常医疗相关问题！

  Language:Python51669

• scutcyr/BianQue

  中文医疗对话模型扁鹊(BianQue)

  Language:Python73395

• SCIR-HI/Huatuo-Llama-Med-Chinese

  Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

  Language:Python4.6k455

• gmftbyGMFTBY/science-llm

  A large-scale language model for scientific domain, trained on redpajama arXiv split

  Language:Python12214

• HqWu-HITCS/Awesome-Chinese-LLM

  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。

  16k1.5k