jingweiz

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

ELF

ELF: a platform for game research

gitignore

A collection of useful .gitignore templates

malmo-challenge

Team: bacon-reloaded

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-distributed

Ape-X DQN & DDPG with pytorch & tensorboard

pytorch-dnc

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom

pytorch-rl

Deep Reinforcement Learning with pytorch & visdom

pytorch-trick-or-treat

Use pytorch the right way http://pytorch.org/docs/

renderer

a ROS package to turn your point clouds into a simulator for training DRL agents

jingweiz/pytorch-rl

Deep Reinforcement Learning with pytorch & visdom

jingweiz/gitignore

A collection of useful .gitignore templates

jingweiz/annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

jingweiz/arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

jingweiz/batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

jingweiz/crafter

Open world survival environment for reinforcement learning

jingweiz/curl_rainbow

jingweiz/dreamer-1

Dream to Control: Learning Behaviors by Latent Imagination

jingweiz/drq

DrQ: Data regularized Q

jingweiz/dynamics-aware-embeddings

Official implementation of DynE, Dynamics-aware Embeddings for RL

jingweiz/educational

jingweiz/extending-jax

Extending JAX with custom C++ and CUDA code

jingweiz/get-started-with-JAX

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

jingweiz/gym-minigrid

Minimalistic gridworld package for OpenAI Gym

jingweiz/jax-rl

Jax (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

jingweiz/latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

jingweiz/makemore

The most accessible way of tinkering with a GPT - one hackable script

jingweiz/minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

jingweiz/mrl

jingweiz/neural_chat

Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web

jingweiz/phasic-policy-gradient

Code for the paper "Phasic Policy Gradient"

jingweiz/plan2explore

Repository for the paper "Planning to Explore via Self-Supervised World Models"

jingweiz/plan2explore-pytorch

jingweiz/pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

jingweiz/rl_games

RL implementations

jingweiz/sample-factory

High throughput asynchronous reinforcement learning

jingweiz/SciencePlots

Matplotlib styles for scientific plotting

jingweiz/softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

jingweiz/trax

Trax — Deep Learning with Clear Code and Speed

jingweiz/VQGAN-CLIP

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.