Jingwei Zhang's repositories

pytorch-rl

Deep Reinforcement Learning with pytorch & visdom

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gitignore

A collection of useful .gitignore templates

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annotated_latex_equations

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

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arxiv-latex-cleaner

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

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batch_rl

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

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crafter

Open world survival environment for reinforcement learning

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dreamer-1

Dream to Control: Learning Behaviors by Latent Imagination

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drq

DrQ: Data regularized Q

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dynamics-aware-embeddings

Official implementation of DynE, Dynamics-aware Embeddings for RL

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extending-jax

Extending JAX with custom C++ and CUDA code

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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.

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gym-minigrid

Minimalistic gridworld package for OpenAI Gym

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jax-rl

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

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latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

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makemore

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

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minGPT

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

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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

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phasic-policy-gradient

Code for the paper "Phasic Policy Gradient"

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plan2explore

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

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pml-book

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

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rl_games

RL implementations

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sample-factory

High throughput asynchronous reinforcement learning

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SciencePlots

Matplotlib styles for scientific plotting

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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.

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trax

Trax — Deep Learning with Clear Code and Speed

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VQGAN-CLIP

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

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