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algorithms

全面的算法代码仓库

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

awp

Codes for adversarial weight perturbation in NeurIPS 2020

deepinception

divoe

[NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"

eth-cs-notes

Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

friendly-adversarial-training

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

gia-hao

[ICLR'22] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

iad

[ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers

learnopencv

Learn OpenCV : C++ and Python Examples

memorization-discrepancy

[ICML 2023] "Exploring Model Dynamics for Accumulative Poisoning Discovery"

mlnotes

Personal learning notes for Machine Learning

mma_training

Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

mmdetection

Open MMLab Detection Toolbox and Benchmark

prml

PRML algorithms implemented in Python

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

sfat

[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"

sfat-mindspore

SFAT implemented with MindSpore

unleashing-mask

[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"

zfancy

zfancy.github.io