RenYixiong-ai

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

pykan

Kolmogorov Arnold Networks

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

alphatensor

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

AlphaZero.jl

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

DRL-Pytorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

materials_discovery

HGNN

Hypergraph Neural Networks (AAAI 2019)

openrl

Unified Reinforcement Learning Framework

DeepRL-Chinese

SuperGo

A student implementation of Alpha Go Zero

pints

Probabilistic Inference on Noisy Time Series

Awesome-Evolutionary-Reinforcement-Learning

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

grape-book

图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book

sora-tutorial

alpha-zero-boosted

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

alpha_zero

A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games

gaussianBP.github.io

Phys601

Code and Notebooks for Physics 601 at the University of New Hampshire

TNMP

DIRAC

Deep reinforcement learning for spIn-glass gRound stAte Calculation

MCPG

VEB-RL

(ICML 2024) The official code for Value-Evolutionary-Based Reinforcement Learning

HartreeFock_GPT

GSO

Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs

hierarchical_autoregressive_networks_for_potts_model

Pythorch code and trained sets of neural networks for simulations of the Potts model