deep-learning

An Open Source Machine Learning Framework for Everyone

🤗 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.

Stable Diffusion web UI

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open Source Computer Vision Library

List of Computer Science courses with video lectures.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Learn AI Engineering! Learn it. Build it. Ship it for others.

12 Weeks, 24 Lessons, AI for All!

🧑‍🏫 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, ... 🧠

Deep Learning for humans

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Deepfakes Software For All

100 Days of ML Coding

We write your reusable computer vision tools. 💜

Learn how to develop, deploy and iterate on production-grade ML applications.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Streamlit — A faster way to build and share data apps.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Making large AI models cheaper, faster and more accessible

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Pure Javascript OCR for more than 100 Languages 📖🎉🖥

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Cross-platform, customizable ML solutions for live and streaming media.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Caffe: a fast open framework for deep learning.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

深度学习经典、新论文逐段精读

💫 Industrial-strength Natural Language Processing (NLP) in Python

Visualizer for neural network, deep learning and machine learning models

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

PyTorch Tutorial for Deep Learning Researchers

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Roadmap to becoming an Artificial Intelligence Expert in 2022

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Code and documentation to train Stanford's Alpaca models, and generate the data.

:memo: An awesome Data Science repository to learn and apply for real world problems.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

A curated list of awesome Deep Learning tutorials, projects and communities.

A complete daily plan for studying to become a machine learning engineer.

Deezer source separation library including pretrained models.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

The fastai deep learning library

SoftVC VITS Singing Voice Conversion

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

deep learning for image processing including classification and object-detection etc.

The most cited deep learning papers

Faster Whisper transcription with CTranslate2

A game theoretic approach to explain the output of any machine learning model.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

The fastai book, published as Jupyter Notebooks

Image-to-Image Translation in PyTorch

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series 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）

Graph Neural Network Library for PyTorch

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

ncnn is a high-performance neural network inference framework optimized for the mobile platform

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Learn OpenCV : C++ and Python Examples

CVPR 2026 论文和开源项目合集

🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.

100-Days-Of-ML-Code中文版

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

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Best Practices on Recommendation Systems

☁️ Build multimodal AI applications with cloud-native stack

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Open standard for machine learning interoperability

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档 aiguide，已升级为鱼皮 AI 导航网站

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。

High-performance In-browser LLM Inference Engine

DeepFaceLab is the leading software for creating deepfakes.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

A WebGL accelerated JavaScript library for training and deploying ML models.

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

Fast and accurate AI powered file content types detection

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

machine learning and deep learning tutorials, articles and other resources

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org