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alocc-cvpr2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

anodet_2_exe

Anomaly detection on images using features from pretrained neural networks.

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

anomalydetection-softpatch

Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"

ast

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

autoencoder-ssim-for-unsupervised-anomaly-detection-

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

ble_dht_bme_rt

cdo

[TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization

cflow-ad

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

data

datasets

differnet

This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.

efficientad

unofficial version of EfficientAD

efficientad-1

Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

efficientnet_ad_segmentation

fastflow

an implementation of the architecture of FastFlow (Jiawei Yu et al.)

ganomaly2d

The Extended Version of GANomaly with Spatial Clue

ind_knn_ad

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

inpainting-transformer

This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)

micropython-web-control-panel

Create a web based control panel for your Micropython project. Web server, parallel processing and web API.

padim-efficientnetv2

EfficientNetV2 based PaDiM

picard

Pluralistic Image Completion for Anomaly Detection (Med. Image Anal. 2023)

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorch-cutpaste

unoffical and work in progress PyTorch implementation of CutPaste

pytorch-image-classification-resnet-18-vgg-mobilnet-scratch-finetune-transfer

Image classification using pytorch

rd4ad

Anomaly Detection via Reverse Distillation from One-Class Embedding

reconstruction-by-inpainting-for-visual-anomaly-detection

This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).

sam-adapter-pytorch

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

squid

[CVPR 2023] Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images

ssim-autoencoder-and-bottle-dataset.