antachen's Stars
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Loyalsoldier/clash-rules
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 等基于 Clash Premium 内核的客户端。
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
open-mmlab/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
spring2go/cs_study_plan
一份硬核(hardcore)计算机科学CS自学计划，偏向软件工程和系统架构方向
shelhamer/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
bethgelab/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
astooke/rlpyt
Reinforcement Learning in PyTorch
Harry24k/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks [torchattacks]
thunlp/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
BorealisAI/advertorch
A Toolbox for Adversarial Robustness Research
wangyuGithub01/Machine_Learning_Resources
:fish::fish::fish: 机器学习面试复习资源
hustcxl/Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
Rafael1s/Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
daohu527/awesome-self-driving-car
An awesome list of self-driving cars
selva86/datasets
A collection of datasets of ML problem solving
zhouhaoyi/ETDataset
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
RobustBench/robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
ymcui/MacBERT
Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)
anguyen8/XAI-papers
jackguagua/awesome-nas-papers
Awesome Neural Architecture Search Papers
alibaba/easyrobust
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
Harry24k/PGD-pytorch
A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
EdisonLeeeee/RS-Adversarial-Learning
A curated collection of adversarial attack and defense on recommender systems.
JinkaiZheng/awesome-adversarial-attack-and-defense-papers
dongyp13/Adversarial-Distributional-Training
Adversarial Distributional Training (NeurIPS 2020)
nishavarghese15/DRUVA
Dataset proposed in "Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset", ICCV 2023
xuyan505/OOMAO
Object-Oriented, Matlab & Adaptive Optics