A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
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Updated
Nov 12, 2024 - Python
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A curated list of awesome anomaly detection resources
Algorithms for outlier, adversarial and drift detection
Kibana Alert & Report App for Elasticsearch
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
Anomaly detection
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Tidy anomaly detection
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
Anomaly detection for streaming time series, featuring automated model selection.
Anomaly detection tutorial on univariate time series with an auto-encoder
Examples of not obvious behaviors for javascript beginner programmers
Time-Series Anomaly Detection Comprehensive Benchmark
Quick and Easy Time Series Outlier Detection
Datasets for Predictive Maintenance
MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection
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