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async_deep_reinforce

Asynchronous Methods for Deep Reinforcement Learning

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

botorch

Bayesian optimization in PyTorch

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

codefuse

Index of the CodeFuse Repositories

cs231n

cs294

homework for CS294 Fall 2017

ddpg

Modifying the network structure in DDPG to solve the multi-agent problem

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

ddpg-keras-torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

dlrover

DLRover: An Automatic Distributed Deep Learning System

dqn

ga3c

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

hebo

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

joshiego

A Go playing program implemented in Tensorflow roughly according to the architecture of AlphaGo. Current strength is 3~4 amateur dan.

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

ml_implementation

Implementation of Machine Learning Algorithms

models

Models built with TensorFlow

mro-asyn-rl

mro-meta

mt-mcts

Multi-task Rl with MCTS

mtrl

Three tasks

q-diffusion

[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.

qwen-tensorrt-llm

rlmlb

rnn2d

CPU and GPU implementations of some 2D RNN layers

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

safeopt

Safe Bayesian Optimization

scalable_maddpg

scalable multi agents reinforcement learning