Harry24k

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks [torchattacks].

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

PGD-pytorch

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

FGSM-pytorch

A pytorch implementation of "Explaining and harnessing adversarial examples"

CW-pytorch

A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"

Pytorch-Basic

Pytorch Codes for Beginner

adversarial-defenses-pytorch

PyTorch implementations of Adversarial defenses and utils.

catastrophic-overfitting

Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]

MIDA-pytorch

PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"

MAIR

PyTorch implementation of adversarial training and defenses [Fantastic Robustness Measures: The Secrets of Robust Generalization, NeurIPS 2023].

IPNN-pytorch

A pytorch implementation of "Intriguing properties of neural networks"

AEPW-pytorch

A pytorch implementation of "Adversarial Examples in the Physical World"

pytorch-custom-utils

Custom utils for Pytorch

RFGSM-pytorch

A pytorch implementation of "Ensemble Adversarial Training : Attacks and Defenses"

privacy-pytorch

coursera-deeplearning-specialization

Homework from the deeplearning.ai Deep Learning Specialization on Coursera (Completed)

foolbox

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

auto_LiRPA

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks

BayesianDefense

Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

CAM

DaleSeo.github.io

Dev Blog by Dale Seo

deep-learning-subject-area

Subject Area

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gatsby-starter-portfolio-minimal-theme

A Gatsby Starter Project to get started with the Portfolio Minimal Theme.

gnn-meta-attack

PyTorch implementation of Adversarial Attacks on Graph Neural Networks via Meta Learning.

harry24k

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)