OpenAI Gym Wrapper for DeepMind Control Suite

Efficient Batched Reinforcement Learning in TensorFlow

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

☁️ Nextcloud server, a safe home for all your data

Python best practices guidebook, written for Humans.

 This repo is a collection of awesome Mac applications and tools for developers and designers.

Python Echarts Plotting Library

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Python function as pipeline jobs.

🎮 A list of popular/awesome videos games, add-ons, maps, etc. hosted on GitHub. Any genre. Any platform. Any engine.

A Flexible and Powerful Parameter Server for large-scale machine learning

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

⚡ A distributed crawler for weibo, building with celery and requests.

模拟登录一些知名的网站，为了方便爬取需要登录的网站

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (A…

TensorFlow tutorials and best practices.

Email addresses harvester

Algorithms, 4th edition textbook code and libraries

机器学习相关教程

Search on Google, and crawls for emails related to the result

Writing a sqlite clone from scratch in C

Genetic Programming in Python, with a scikit-learn inspired API

Accounting made accessible for small businesses and sole proprietorships through a simple Django project.

本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售

up to date simple useragent faker with real world database

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Reinforcement Learning Coach by Intel® Nervana™ enables easy experimentation with state of the art Reinforcement Learning algorithms

Recent Deep Learning papers in NLU and RL

Minimal and clean examples of machine learning algorithms