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Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
Anomaly detection on images using features from pretrained neural networks.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
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.
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
[TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
datasets
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.
unofficial version of EfficientAD
Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535
an implementation of the architecture of FastFlow (Jiawei Yu et al.)
The Extended Version of GANomaly with Spatial Clue
Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.
This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)
Create a web based control panel for your Micropython project. Web server, parallel processing and web API.
EfficientNetV2 based PaDiM
Pluralistic Image Completion for Anomaly Detection (Med. Image Anal. 2023)
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
unoffical and work in progress PyTorch implementation of CutPaste
Image classification using pytorch
Anomaly Detection via Reverse Distillation from One-Class Embedding
This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
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.
[CVPR 2023] Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.