xuwangyin Goto Github PK

add_toc

at-ebms

auto-attack

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

autojump

A cd command that learns - easily navigate directories from the command line

beta-vae

Pytorch implementation of β-VAE

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

carillon

The naive anomaly detector (for CPU, RAM, network, whatever) based on Naive Bayes Model

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

celebahqattributes

A Pytorch dataset class for CelebAHQ images and attributes

cnn_partition

Run part of cnn model on the client, the other part on the server

cpp_snippets

Useful C++ code snippets (at least for me :-))

crf-tesseract

The next big thing -- combine the power of Tesseract with Conditional Random Fields

cubic-dnn

cumulative-distribution-transform

Cumulative Distribution Transform

customizedresent18-imagenet

darknet

Convolutional Neural Networks

dash-docset-torch

Dash/zeal docset for torch

dinov2-finetune

Finetuning DINOv2 (https://github.com/facebookresearch/dinov2) on your own dataset

dotfiles

@holman does dotfiles

folly

Folly is an open-source C++ library developed and used at Facebook.

fzf

:cherry_blossom: A command-line fuzzy finder

ga-svm

使用libsvm和遗传算法优化支持向量机的cost和gamma参数

gat-cifar10

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

gat-generative-adversarial-training

gat-imagenet

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

gat-mnist

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

gat-synthetic

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

imagecaptioning.pytorch

image captioning codebase in pytorch(finetunable cnn in branch "with_finetune", self-critical training is under my self-critical.pytorch repository.)

imagenet-multigpu.torch

an imagenet example free of fbcunn dependencies in torch.

innoutrobustness

Adversarial Robustness on In- and Out-Distribution Improves Explainability