Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

All Algorithms implemented in Python

《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。

Comprehensive Python Cheatsheet

Python Development Workflow for Humans.

Write scalable load tests in plain Python 🚗💨

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Redis Python client

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Open Machine Learning Course

A flexible framework of neural networks for deep learning

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

Parse Redis dump.rdb files, Analyze Memory, and Export Data to JSON

30天掌握量化交易 (持续更新)

Simple PyTorch Tutorials Zero to ALL!

Beancount: Double-Entry Accounting from Text Files.

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Macrobenchmarking framework for Elasticsearch

Fava - web interface for Beancount

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Python cluster client for the official redis cluster. Redis 3.0+.

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

Python bindings for MPI

Repo containing code for multi-agent deep reinforcement learning (MADRL).

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

mpi4py examples