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acgan-adv-training-mod

adv_gan_keras

Keras implementation of AdvGAN by Xiao et al. (2018) https://arxiv.org/abs/1801.02610

advgan-tf

Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks

advis.js

[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.

amazing-gans-for-anomaly-detection

blockly_mod

Modified blockly, see on the blockly/demos/fixed/index.html. Javascript code is inside the fixed folder as well

blockly_mod_final

Recent Blockly Updates are demoed in demos/fixed/index.html. The files that were touched were demos/fixed/scripts/* and core/block_render_svg.js

cifar10_challenge

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

clip

Contrastive Language-Image Pretraining

defensebyattack

Code for paper "One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples." (https://arxiv.org/abs/1911.11219)

ens-adv-ii

Ensemble Adv Learning modified from JZ-Liang

ensemble-adversarial-training

fastchat_mod

fgsm

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

idsgan

material-design

meta-learning-papers

A classified list of meta learning papers based on realm.

meta_pill_id

ml_test

mnist_challenge

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

models

Models and examples built with TensorFlow

onlyp2p_admin

open-sora

Open-Sora: Democratizing Efficient Video Production for All

pill-recognition

pix2pix

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

react-bash

Created with CodeSandbox

react-view-pdf-mod

A simple and powerful PDF Viewer library for React.js

retrieval-based-chatbot-for-q-a