dgl-prc

ColossalAI

Making large AI models cheaper, faster and more accessible

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

pytorch-cifar

95.47% on CIFAR10 with PyTorch

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, WideResNet)

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

zjuthesis

Zhejiang University Graduation Thesis LaTeX Template

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

zotero-actions-tags

Customize your Zotero workflow.

TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

gbt7714-bibtex-style

GB/T 7714-2015 BibTeX Style

exbert

A Visual Analysis Tool to Explore Learned Representations in Transformers Models

TextFooler

A Model for Natural Language Attack on Text Classification and Inference

ns-vqa

Neural-symbolic visual question answering

zotero-pdf-background

a zotero plugin to set green pdf background to care your eyes

awesome-linux-zh

🐧 适用于 Linux 下的应用程序，软件，工具和其他材料

detecting-adversarial-samples

Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

ReluplexCav2017

sears

Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"

gpt_alternatives

Adversarial-Misspellings

sadl

Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"

NNet

Documentation and scripts related to the .nnet file format. This file format specifies a simple text file to define feed-forward, fully-connected, ReLU activated neural networks. Example networks in this format can be found in the Reluplex repository.

Socrates

DNNOpAcc

DeepEST

MinimalDNNModificationLpar2020

DeepEST