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adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

advertorch

A Toolbox for Adversarial Robustness Research

batch-spectral-penalization

Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)

dal

Domain agnostic learning with disentangled representations

hairmapper

HairMapper: Removing Hair from Portraits Using GANs

hyperstyle

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

knowledge-distillation-confidence-distillation-final

maxout-pytorch

notebook demonstrating a maxout net on MNIST

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

metric_learning_adversarial_robustness

Code for NeurIPS 2019 Paper

pylearn2

Warning: This project does not have any current developer. See bellow.

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

semisup-adv

Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf

trades

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

xlearn

Transfer Learning Library