A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A Collection of Variational Autoencoders (VAE) in PyTorch.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

A highly efficient implementation of Gaussian Processes in PyTorch

Gaussian processes framework in python

PyTorch implementation of adversarial attacks [torchattacks]

Convolutional 2D Knowledge Graph Embeddings resources

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

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Gaussian Mixture Models in Python

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

Code for "Sequential Neural Models with Stochastic Layers"

LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.

Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustn…

Official Implementation of AlignMixup - CVPR 2022

A Self-Consistent Robust Error (ICML 2022)

Official code for "Mean Shift for Self-Supervised Learning"

Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks

Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://arxiv.org/abs/2203.09940

MNIST Binary Classification using Pytorch