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

Google Research

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

The fastai book, published as Jupyter Notebooks

Learn OpenCV : C++ and Python Examples

100-Days-Of-ML-Code中文版

A High-Quality Real Time Upscaler for Anime Video

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。

💿 Free software that works great, and also happens to be open-source Python.

📡 Simple and ready-to-use tutorials for TensorFlow

This repository contains the source code for the paper First Order Motion Model for Image Animation

Natural Language Processing Tutorial for Deep Learning Researchers

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

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

PRML algorithms implemented in Python

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Code release for NeRF (Neural Radiance Fields)

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

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

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

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

Build your neural network easy and fast, 莫烦Python中文教学

A better notebook for Scala (and more)

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

[ICCV 2019] Monocular depth estimation from a single image

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

This is code of book "Learn Deep Learning with PyTorch"

Jupyter notebooks for using & learning Keras