Stars
An Open Source Machine Learning Framework for Everyone
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
Models and examples built with TensorFlow
An extremely fast Python package and project manager, written in Rust.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Code and documentation to train Stanford's Alpaca models, and generate the data.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Open-source search and retrieval database for AI applications.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
中华人民共和国行政区划:省级(省份)、 地级(城市)、 县级(区县)、 乡级(乡镇街道)、 村级(村委会居委会) ,中国省市区镇村二级三级四级五级联动地址数据。
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Llama中文社区,实时汇总最新Llama学习资料,构建最好的中文Llama大模型开源生态,完全开源可商用
100+ Chinese Word Vectors 上百种预训练中文词向量
The official GitHub page for the survey paper "A Survey of Large Language Models".
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, GLM4.5, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, Llava, GLM4v, Ph…
Fast and accurate AI powered file content types detection
Deep learning library featuring a higher-level API for TensorFlow.
LangChain 的中文入门教程
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Large World Model -- Modeling Text and Video with Millions Context