🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

Make websites accessible for AI agents

Master programming by recreating your favorite technologies from scratch.

🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/mEkkMXFG

Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/

An extremely fast Python package and project manager, written in Rust.

A mini, open-weights, version of our Proxy assistant.

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

🦜🔗 Build context-aware reasoning applications

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥

A simple, easy-to-hack GraphRAG implementation

Prompt-To-Agent : Create custom engineering agents for your codebase

🪄 Create rich visualizations with AI

AI Agent Builder in Python

OctoTools: An agentic framework with extensible tools for complex reasoning

Reverse Engineering: Decompiling Binary Code with Large Language Models

Toolkit for linearizing PDFs for LLM datasets/training

Deep universal probabilistic programming with Python and PyTorch

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

Tensors and Dynamic neural networks in Python with strong GPU acceleration

这是一份入门AI/LLM大模型的逐步指南，包含教程和演示代码，带你从API走进本地大模型部署和微调，代码文件会提供Kaggle或Colab在线版本，即便没有显卡也可以进行学习。项目中还开设了一个小型的代码游乐场🎡，你可以尝试在里面实验一些有意思的AI脚本。同时，包含李宏毅 (HUNG-YI LEE）2024生成式人工智能导论课程的完整中文镜像作业。

Python package built to ease deep learning on graph, on top of existing DL frameworks.

An open-source framework for self-supervised recommender systems.

PyGCL: A PyTorch Library for Graph Contrastive Learning

PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structur…