🧑‍🏫 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

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

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

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

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

Deep Learning Book Chinese Translation

Caffe: a fast open framework for deep learning.

Visualizer for neural network, deep learning and machine learning models

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

PyTorch Tutorial for Deep Learning Researchers

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.

A playbook for systematically maximizing the performance of deep learning models.

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.

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

The fastai deep learning library

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

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

The most cited deep learning papers

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）

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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。

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.

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

A Deep Learning based project for colorizing and restoring old images (and video!)

machine learning and deep learning tutorials, articles and other resources

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。