fuyw

RepL4RL

Representation Learning for RL

jrlzoo

A collection of RL baselines in Jax.

rlmc

CARL

Benchmarking RL generalization in an interpretable way.

dreamerv3

Mastering Diverse Domains through World Models

drl-memory-gym

Challenging Memory-based Deep Reinforcement Learning Agents

easytrader

提供同花顺客户端/国金/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

fastbook

The fastai book, published as Jupyter Notebooks

Hsuanwu

Long-Term Evolution Project of Reinforcement Learning

hyper-nn

Easy Hypernetworks in Pytorch and Jax

HyQ

Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.

inac_pytorch

IVR

Author's implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization"

lge

lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

LogicStack-LeetCode

公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码

mammoth

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

NECSA

Official implementation of Neural Episodic Control with State Abstraction

outer-value-function-meta-rl

Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function

pgx

A collection of highly-parallel RL game environments written in JAX

plan2explore

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

pml-book

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

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

rl_with_resets

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

rlpd

TabPFN

Official implementation of the TabPFN and the tabpfn package.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

v-d4rl

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations