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Name: Kun Ni
Type: User
Location: China
Name: Kun Ni
Type: User
Location: China
Learn Deep Reinforcement Learning in Depth in 60 days
The classical papers and codes about generative adversarial nets
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
exercises for Alogorithms (Fourth Edition)
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
A Multi-threaded Implementation of AlphaZero
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
Source codes for book <<<BeginningAlgorithmContests>> Second edition
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
An open autonomous driving platform
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Efficient Batched Reinforcement Learning in TensorFlow
Exercise in Beginning Algorithm Contests
Behavior Trees Library in C++. Batteries included.
Chess reinforcement learning by AlphaGo Zero methods.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Playground for deep learning frameworks
A collection of tutorials from Deep Learning conferences.
MIT Deep Learning Book in PDF format
Highly modularized implementation of popular deep RL algorithms in PyTorch
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
Kaggle competition: State Farm Distracted Driver Detection
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A planning, control, and analysis toolbox for nonlinear dynamical systems. More info at
TensorFlow tutorials and best practices.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.