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adversarial-attacks-pytorch

A pytorch implementations of Adversarial attacks and utils

apricottosem

codereview_v2

cola

🥤 COLA: Clean Object-oriented & Layered Architecture

condor-test

croissant_tosem

Supplementary materials for Croissant.

cycliclr_scheduler_pytorch

A PyTorch implementation of Cyclical Learning Rates

dblp-python

A simple Python wrapper around the DBLP API, currently supporting author search and author and publication lookup.

deepdefense.pytorch

Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness

deepeutaxy

deepxplore

DeepXplore code release

demoauguste.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dsq

pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"

flint-implementation

freeadversarialtraining

PyTorch Implementation of Adversarial Training for Free!

github

machinelearningproject

mygit

nlp-playground

piccolo

Piccolo (formerly Pilot) – mini game engine for games104

python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-template

PyTorch deep learning projects made easy.

quantum

rnntutorial

robustbnns

Robustness of Bayesian Neural Networks to Gradient-Based Attacks

syzkaller

syzkaller is an unsupervised, coverage-guided kernel fuzzer