Discover open-source AI tools.

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Autoharness — a self-learning skill layer for Claude Code — distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Build, Manage and Deploy AI/ML Systems

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

:octocat:GitHub最全的前端资源汇总仓库（包括前端学习、开发资源、求职面试等）

Bindu: The identity, communication, and payments layer for AI agents.

TensorFlow-based neural network library

Best Practices, code samples, and documentation for Computer Vision.

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

收录最全、更新最快的技能Skills商店：精选原创技能包（涵盖文档处理、内容创作、编程开发、机器学习、自动化工作流），全部打包好可直接安装使用！同时自动抓取GitHub上万个Skills项目，按分类、更新时间、Star数量整理。The most comprehensive and frequently updated AI Agent skill library, featuring curated skill packs across document processing, content creation, programming, machine learning, automated workflows, and many more domains.

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

A collection of libraries to optimise AI model performances

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM