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Name: Zhong Chaoliang
Type: User
Location: Beijing
Name: Zhong Chaoliang
Type: User
Location: Beijing
robot arm by ROS & Moveit, Train Deep Reinforcement Algorithms
Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
一款自动化交易框架, 可以在其基础上 架设自己的策略交易系统
The most cited deep learning papers
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
C51-DDQN in Keras
A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
Categorical DQN from 'A distributional Perspective on Reinforcement Learning'
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This project aims to build effective stock selection models based on machine learning tools such as Keras, Tensorflow, XGBoost, etc., for Chinese stock market participants.
DeepCover: Uncover Bugs in Deep Learning
Deep Learning Book Chinese Translation
A Python Package for Density Ratio Estimation
Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.
OpenAI Gym Wrapper for DeepMind Control Suite
Reinforcement Learning for finance
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Packages for common geometric calculations including the ROS transform library, "tf". Also includes ROS bindings for "bullet" physics engine and "kdl" kinematics/dynamics package.
A set of ROS packages for keeping track of coordinate transforms.
该库主要分享“匠芯量化”公众号内的策略源码,更多策略细节请关注微信公众号:“匠芯量化”(微信搜索公众号“jxquant”)。
This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).
A complete daily plan for studying to become a machine learning engineer.
Image Classification with MNIST Dataset
Suite of tools for detecting changes in web pages and their rendering
POMDPs in Python.
python data ; k线蜡烛图
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.