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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

oo-internal-test

oo internal test

oop-development

development for oriented object programming course

optimization_algorithm_dl

optimization algorithm experiment for deep learning

paper_reading_list

path-restore

photo-tran

photo transmission

pointnet

pytorch implement for PointNet

ppoxfamily

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

psydi

pysc2

StarCraft II Learning Environment

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

qtprojects

rag_examples

rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

reinforcement-learning-algorithms

This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)

repo-roster

Shout-out supporters in your GitHub README file.

repo_test

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl_practice

basic reinforcement learning algorithm and experiment

rotate_module

rotate invariant module for convolutional neural network

seam_carving_application

seam-carving algorithm application

shields

Concise, consistent, and legible badges in SVG and raster format

slimmable_depth_network

slimmable_networks

Slimmable Networks, ICLR 2019

so2

[AAAI2024] A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning

spinningup

An educational resource to help anyone learn deep reinforcement learning.

study_di

summer-course-homework

LSTM for NBA players location prediction