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Name: Vincent Zhuang
Type: User
Name: Vincent Zhuang
Type: User
Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A Theano framework for building and training neural networks
A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
Network simulator for Caltech CS 143
A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
Deep reinforcement learning for Atari
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning
DQN-MxNet-Gluon
An End-To-End, Lightweight and Flexible Platform for Game Research
Speed up PixelCNN++ image generation by up to a 183 times
A TensorFlow implementation of the gated variant of PixelCNN (Gated PixelCNN) from "Conditional Image Generation with PixelCNN Decoders" (https://arxiv.org/abs/1606.05328).
PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016
code for the paper "Improved Techniques for Training GANs"
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Deep Reinforcement Learning for Keras.
Reinforcement learning environments with musculoskeletal models
Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Pytorch Implementation of PixelCNN++
PyTorch implementation of Count-Based Exploration with Neural Density Models
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Reinforcement Learning in PyTorch
Safe Bayesian Optimization
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
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.