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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

betty

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

bgpbt

[AutoML'22] Bayesian Generational Population-based Training (BG-PBT)

cocotb

cocotb, a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

derl

The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)

diffusion-literature-for-robotics

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

dqn_zoo

DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

dreamerv3

Mastering Diverse Domains through World Models

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

edl

Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"

exorl

ExORL: Exploratory Data for Offline Reinforcement Learning

fastbook

The fastai book, published as Jupyter Notebooks

fastertransformer

Transformer related optimization, including BERT, GPT

fastpbrl

Vectorization techniques for fast population-based training.

flash-attention

fpbinary

Fixed point package for Python.

furl

gem

gflownet

Generative Flow Networks

git-re-basin

Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"

hyper-nn

Easy Hypernetworks in Pytorch and Jax

hyperl

Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)

hypnettorch

Package for working with hypernetworks in PyTorch.

inac_pytorch

jax-comln

Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)

jrlzoo

A collection of RL baselines in Jax.

lleaves

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