aminjun Goto Github PK

8282l-3

828o

828O_Project

abclassifier

Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

adversarial-training-for-free

Unofficial implementation of the paper 'Adversarial Training for Free'

batterylow

Bash Terminal Notifier for Battery Low / Battery Charged status.

breakingcertifiabledefenses

Breaking Certifiable Defenses

cmsc828l

colordiff

Colored Character Level Diff between two files.

cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

dcgan

DCGAN Pretrained Models For CIFAR10

deep-image-prior

Image restoration with neural networks but without learning.

deepinversion

Dreaming to distill: Data-free knowledge transfer via DeepInversion (CVPR 2020)

deeplearningexamples

Deep Learning Examples

effenwick

Memory-Efficient Implementation of DenseNets via PyTorch 1.0

featuresonification

Feature Sonification of Automated Speech Recognition (ASR) Models such as Jasper

featuresqueezing

Detecting Adversarial Examples in Deep Neural Networks

free_adv_train

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

freeadversarialtraining

PyTorch Implementation of Adversarial Training for Free!

gpu-job-scheduler

Job scheduler for multi-gpu single machine system

homepage

My Personal Homepage

iclr19

A challenge to explore adversarial robustness of neural networks on CIFAR10.

iclr2020

ICLR2020 Downloader & Search Tool

imagenet1kboundingboxes

Pytorch ImageNet1k Loader with Bounding Boxes.

imgconverter

Python runner to convert images in a folder!

inversioninitnoise

Cached MultiVariate Gaussian, Good for Model Inversion on ImageNet, All the credit goes to Madry's Implementations.

kaminsky_exploit

Tool to exploit the Kaminsky DNS vulnerability

lisa

LISA Traffic Signs Dataset for Pytorch. For Classification. 32x32 images. I use this to reproduce the Activation Clustering Results.

materialviewpager

A Material Design ViewPager easy to use library

ml-hw

Homeworks for Machine Learning Course

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.