🤖 Trending AI & ML
Discover the most trending AI & ML repositories today — 60 repos ranked by Attention Score, updated weekly from GitHub.
An Open Source Machine Learning Framework for Everyone
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Open Source Computer Vision Library
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
scikit-learn: machine learning in Python
Build AI Agents, Visually
real time face swap and one-click video deepfake with only a single image
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
List of Computer Science courses with video lectures.
Deepfakes Software For All
Tesseract Open Source OCR Engine (main repository)
🙌 OpenHands: AI-Driven Development
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
The fastest path to AI-powered full stack observability, even for lean teams.
12 Weeks, 24 Lessons, AI for All!
Ultralytics YOLO 🚀
Financial data platform for analysts, quants and AI agents.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
The Julia Programming Language
Google Research
Learn OpenCV : C++ and Python Examples
🦍 The API and AI Gateway
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Streamlit — A faster way to build and share data apps.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
We write your reusable computer vision tools. 💜
Cross-platform, customizable ML solutions for live and streaming media.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A community-supported supercharged document management system: scan, index and archive all your documents
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
Datasets, Transforms and Models specific to Computer Vision
Integrate cutting-edge LLM technology quickly and easily into your apps
Visualizer for neural network, deep learning and machine learning models
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.
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/
Label Studio is a multi-type data labeling and annotation tool with standardized output format
ncnn is a high-performance neural network inference framework optimized for the mobile platform
A game theoretic approach to explain the output of any machine learning model.
Deezer source separation library including pretrained models.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Graph Neural Network Library for PyTorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版
The Modular Platform (includes MAX & Mojo)
Open-source AI hackers to find and fix your app’s vulnerabilities.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation