antachen

gym

A toolkit for developing and comparing reinforcement learning algorithms.

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。

tianshou

An elegant PyTorch deep reinforcement learning library.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

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

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

rlpyt

Reinforcement Learning in PyTorch

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks [torchattacks]

TAADpapers

Must-read Papers on Textual Adversarial Attack and Defense

advertorch

A Toolbox for Adversarial Robustness Research

Machine_Learning_Resources

:fish::fish::fish: 机器学习面试复习资源

Rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

awesome-self-driving-car

An awesome list of self-driving cars

datasets

A collection of datasets of ML problem solving

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.

MacBERT

Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)

robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

ETDataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

XAI-papers

awesome-nas-papers

Awesome Neural Architecture Search Papers

easyrobust

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

PGD-pytorch

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

RS-Adversarial-Learning

A curated collection of adversarial attack and defense on recommender systems.

awesome-adversarial-attack-and-defense-papers

Adversarial-Distributional-Training

Adversarial Distributional Training (NeurIPS 2020)

DRUVA

Dataset proposed in "Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset", ICCV 2023

OOMAO

Object-Oriented, Matlab & Adaptive Optics