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