AyiStar's Stars
LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
guytenn/Act2Vec
guyulongcs/Awesome-Deep-Reinforcement-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.
NeuronDance/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
shaohua0116/ICLR2020-OpenReviewData
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
evanzd/ICLR2021-OpenReviewData
Crawl & visualize ICLR papers and reviews.
wangshusen/DRL
Deep Reinforcement Learning
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
bethgelab/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
mingyip/Reinforcement-Learning-for-Active-Learning-Reborn
jilljenn/qna
Comparing models for adaptive testing (Rasch, DINA, MIRT, GenMA)
xtensor-stack/xtensor
C++ tensors with broadcasting and lazy computing
dpilger26/NumCpp
C++ implementation of the Python Numpy library
shihyu/Linux_Programming
miloyip/json-tutorial
从零开始的 JSON 库教程
BNDong/Cnblogs-Theme-SimpleMemory
🍭 Cnblogs theme _ Basic theme : SimpleMemory
linyacool/WebServer
A C++ High Performance Web Server
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
cvlab-yonsei/ISGAN
An official implementation of "Learning Disentangled Representation for Robust Person Re-identification" (NeurIPS 2019) in PyTorch.
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
Behrouz-Babaki/COP-Kmeans
A Python implementation of COP-KMEANS algorithm
adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
Mephisto405/Learning-Loss-for-Active-Learning
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
CoinCheung/triplet-reid-pytorch
My implementation of the paper [In Defense of the Triplet Loss for Person Re-Identification]
kilianyp/triplet-reid-pytorch
A pytorch implementation of the "In Defense of the Triplet Loss for Person Re-Identification" paper (https://arxiv.org/abs/1703.07737). It also contains a implementation of the MGN network from the paper "Learning Discriminative Features with Multiple Granularities for Person Re-Identification". Reaches 83.17% mAP with MGN.
huanghoujing/person-reid-triplet-loss-baseline
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
aikorea/awesome-rl
Reinforcement learning resources curated
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction