Deep Open Source Projects

Deep Learning Book Chinese Translation

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

PyTorch Tutorial for Deep Learning Researchers

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

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

The fastai deep learning library

The most cited deep learning papers

The fastai book, published as Jupyter Notebooks

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）

Learn OpenCV : C++ and Python Examples

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

✅ Curated list of resources for developers

:books: The definitive guide to TypeScript and possibly the best TypeScript book :book:. Free and Open Source 🌹

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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。

Code samples for my book "Neural Networks and Deep Learning"

TensorFlow - A curated list of dedicated resources http://tensorflow.org

互联网上的免费书籍

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

This repository is no longer maintained.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Open Machine Learning Compiler Framework

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Play with neural networks!

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

An educational resource to help anyone learn deep reinforcement learning.

Low-code framework for building custom LLMs, neural networks, and other AI models

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

A curated list of deep learning resources for computer vision

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

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

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Reinforcement learning resources curated

Deep learning library featuring a higher-level API for TensorFlow.

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

Deep universal probabilistic programming with Python and PyTorch

A collection of machine learning examples and tutorials.

Create deep copies (clones) of your objects

Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A curated list of practical financial machine learning tools and applications.

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

Trax — Deep Learning with Clear Code and Speed

Deep Learning Specialization by Andrew Ng on Coursera.

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Keras code and weights files for popular deep learning models.

A curated list of roadmaps.

VIP cheatsheets for Stanford's CS 230 Deep Learning

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

TypeScript Deep Dive 中文版

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.