anomalib
Anomaly detector
A deep learning library for detecting anomalies in data with algorithms and tools for benchmarking, training, and deploying models.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
4k stars
40 watching
691 forks
Language: Python
last commit: 3 months ago anomaly-detectionanomaly-localizationanomaly-segmentationneural-network-compressionopenvinounsupervised-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
| openvinotoolkit/openvino | A toolkit for optimizing and deploying artificial intelligence models in various applications | 7,439 |
| openvinotoolkit/open_model_zoo | A collection of pre-trained deep learning models and demo applications for accelerating inference tasks | 4,118 |
 orobix/visual-feature-attribution-using-wasserstein-gans-pytorch | A PyTorch implementation of a feature attribution technique using Wasserstein Generative Adversarial Networks for anomaly detection in medical images. | 93 |
 ayoolaolafenwa/pixellib | A deep learning library for image segmentation and object detection using PyTorch. | 1,054 |
 seldonio/alibi-detect | A Python library for detecting outliers, adversarial examples, and data drift in various types of data | 2,262 |
 hendrycks/outlier-exposure | Anomaly detection framework utilizing out-of-distribution data to improve deep learning model performance. | 548 |
 arundo/adtk | A toolkit for rule-based and unsupervised anomaly detection in time series data | 1,108 |
 gubertoli/probingdataset | A collection of network traffic data used to train machine learning models for detecting anomalies in network activity | 29 |
 pygod-team/pygod | Detects anomalies in graph data using various algorithms | 1,350 |
| seldonio/alibi | A Python library for explaining machine learning models | 2,421 |
 zhao-tong/graph-anomaly-loss | This repository provides code for training a model to detect anomalies in graph data using pattern mining and feature learning. | 40 |
 business-science/anomalize | A package providing functions to decompose and detect anomalies in time series data | 339 |
 unit8co/darts | A Python library for user-friendly time series forecasting and anomaly detection | 8,166 |
 western-oc2-lab/automl-implementation-for-static-and-dynamic-data-analytics | Automated Machine Learning implementation for static and dynamic data analytics with a focus on IoT anomaly detection | 624 |
 yzhao062/suod | A Python framework for accelerating large-scale unsupervised outlier detection in heterogeneous datasets | 382 |