tianhongdai Goto Github PK
Name: Tianhong Dai
Type: User
Bio: Senior Research Scientist
Location: United Kingdom
Blog: https://tianhongdai.xyz
Name: Tianhong Dai
Type: User
Bio: Senior Research Scientist
Location: United Kingdom
Blog: https://tianhongdai.xyz
University of Aberdeen HPC Cluster User Guides
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Async completion framework made ease.
This is the official code of our paper "Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning" [Neurocomputing 2021].
dhSegment on pytorch
This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" [PRICAI 2021].
The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.
It contains the dockerfiles for the purpose of machine learning / deep learning research.
This is the official code of our paper "Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation" [Neurocomputing 2022].
This is the official code of our paper "Episodic Self-Imitation Learning with Hindsight" [Electronics 2020].
Computational framework for reinforcement learning in traffic control
A toolkit for reproducible reinforcement learning research.
It's the pytorch implementation of google research football.
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
Platform for training generalizable deep reinforcement learning agents
This is the implementation of MOSSE tracking algorithm (correlation filter based).
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
Repository for competitive multi-agent environments
A toolkit for robot learning research.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A fast and simple framework for building and running distributed applications.
This is the official code of our paper "Machine Learning to Support Visual Auditing of Home-based Lateral Flow Immunoassay Self-Test Results for SARS-CoV-2 Antibodies" [Communications Medicine 2022].
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
A large-scale benchmark and learning environment.
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.