Starred repositories
Code of “Multi-Modal Deep Learning Enables Ultrafast and Accurate Annotation of Enzymatic Active Sites”
Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)
Awesome Protein Representation Learning
ChEMBL database structure pipelines
Official Repository for the Uni-Mol Series Methods
VirtualWife是一个虚拟数字人项目，支持B站直播，支持openai、ollama
项目简介：本项目基于GPT完成数据标注、分类、润色等工作，原理是多线程批量处理input的数据，经过GPT处理后输出output数据。
2024.10.08再次更新！ChatGPT-website的改进版本，几乎支持所有OpenAI模型，新增前端设置参数（temperature和tokens），gpt4访问密码，记忆和读取参数（cookies），apikey支持批量填写（前端以及配置文件settings.py都支持），对话复制、编辑、重新生成、删除等功能！如下为体验网址！
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
Fay is an open-source digital human framework integrating language models and digital characters. It offers retail, assistant, and agent versions for diverse applications like virtual shopping guid…
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, le…
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
A curated list of awesome Machine Learning frameworks, libraries and software.
史上最大规模1.4亿知识图谱数据免费下载，知识图谱，通用知识图谱，融合了两千五百多万的实体，拥有亿级别的实体属性关系。
Measuring Massive Multitask Language Understanding | ICLR 2021
PubMedQA: A Dataset for Biomedical Research Question Answering
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
