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Name: Rosemary Ke
Type: User
Name: Rosemary Ke
Type: User
Weight initialization schemes for PyTorch nn.Modules
Codes for the "Noisy Activation Functions" paper.
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Omniglot data set for one-shot learning
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
A creative commons dataset of trivia questions and answers
A recurrent, multi-process and readable PyTorch implementation of the deep reinforcement algorithms A2C and PPO
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
PyTorch implementation of Trust Region Policy Optimization
PyTorch Tutorial for Deep Learning Researchers
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Deep Reinforcement Learning algorithms implemented in PyTorch
R-net in PyTorch
Tensorflow Implementation of R-Net
R-NET implementation in Keras.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python code for Reinforcement Learning: An Introduction
This Repository Contains Most of Classic Deep Reinforcement Learning Algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)
Retro Games in Gym
Publicly releasable baselines for the Retro contest
Solutions to various tasks using reinforcement learning and optimal control (trajectory optimization)
A3C LSTM Atari with Pytorch plus A3G design
Collection of reinforcement learning algorithms
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
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.