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Easily and securely send things from one computer to another 🐊 📦
An open-source cross-platform alternative to AirDrop
Master programming by recreating your favorite technologies from scratch.
A scalable overlay networking tool with a focus on performance, simplicity and security
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
A library for calling C functions from Go without Cgo
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
A compiler for APIs described by the OpenAPI Specification with plugins for code generation and other API support tasks.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
No-root network monitor, firewall and PCAP dumper for Android
A modular graph-based Retrieval-Augmented Generation (RAG) system
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
LLM model quantization (compression) toolkit with hw acceleration support for Nvidia CUDA, AMD ROCm, Intel XPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
A powerful toolkit for compressing large models including LLM, VLM, and video generation models.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
The official GitHub page for the survey paper "A Survey of Large Language Models".
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。
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括303个大模型，覆盖chatgpt、gpt-5、o4-mini、谷歌gemini-2.5、Claude4.5、智谱GLM-Z1、文心一言、qwen3-max、百川、讯飞星火、商汤senseChat、minimax等商用模型， 以及kimi-k2、ernie4.5、minimax-M1、DeepSeek-R1-0528、deepsee…