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A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Created
2017-10-03
1,865 commits to master branch, last one 2 months ago
A curated list of awesome anomaly detection resources
Created
2018-08-29
168 commits to master branch, last one 2 years ago
Algorithms for outlier, adversarial and drift detection
Created
2019-10-07
731 commits to master branch, last one 9 days ago
Kibana Alert & Report App for Elasticsearch
Created
2016-05-07
1,530 commits to master branch, last one 6 months ago
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Created
2017-08-30
76 commits to master branch, last one 6 years ago
Anomaly detection
Created
2014-06-04
2,142 commits to master branch, last one about a year ago
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Created
2018-05-22
42 commits to master branch, last one 3 years ago
Tidy anomaly detection
Created
2018-03-19
125 commits to master branch, last one 10 months ago
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
Created
2021-07-27
20 commits to master branch, last one about a year ago
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Created
2020-06-05
217 commits to master branch, last one about a year ago
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
Created
2021-06-22
617 commits to latest_release branch, last one 2 years ago
Anomaly detection for streaming time series, featuring automated model selection.
Created
2018-04-11
1,732 commits to master branch, last one 4 years ago
Anomaly detection tutorial on univariate time series with an auto-encoder
Created
2019-10-15
13 commits to master branch, last one 3 years ago
Time-Series Anomaly Detection Comprehensive Benchmark
Created
2022-06-19
70 commits to main branch, last one 3 days ago
Quick and Easy Time Series Outlier Detection
Created
2022-05-13
208 commits to main branch, last one 6 months ago
Datasets for Predictive Maintenance
phm
anomaly
automation
industry-4
degradation
forecasting
time-series
time-to-event
ai-engineering
event-to-event
run-to-failure
machine-learning
anomaly-detection
survival-analysis
time-series-analysis
remaining-useful-life
run-to-failure-models
predictive-maintenance
condition-based-maintenance
prognosis-and-health-management
Created
2021-11-01
32 commits to main branch, last one about a year ago
An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"
Created
2019-08-05
70 commits to master branch, last one 2 years ago
MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection
Created
2022-06-15
6 commits to main branch, last one 4 months ago
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
Created
2021-09-21
84 commits to main branch, last one 29 days ago
[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
Created
2020-08-05
15 commits to master branch, last one 3 years ago
This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable ...
Created
2020-03-30
2,799 commits to development branch, last one 2 days ago
[ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection
Created
2023-12-13
4 commits to master branch, last one 17 days ago