yuxiao-ash / ITAE-Pytorch-Anomaly_Detection Public

Notifications You must be signed in to change notification settings
Fork 4
Star 13

An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676

13 stars 4 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
config		config
data_tools		data_tools
model		model
README.md		README.md
main.py		main.py
train.py		train.py

Repository files navigation

ITAE-Pytorch-Anomaly_Detection

An unofficial reproduced implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676

requirements

python3
pytorch-1.0 or higher version
mmcv
torchvision
tqdm

how to use

run python main.py config/config_mnist to train and test on mnist dataset
run python main.py config/config_cifar to train and test on cifar dataset

others

This implementation refers to https://github.com/samet-akcay/ganomaly and https://github.com/milesial/Pytorch-UNet.

note

To get the score in paper, please refer to these suggestions from chaoqinhuang .

About

An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676

Report repository

Releases

No releases published

Packages

No packages published

Languages

Python 100.0%