Resources useful for Anomaly detection in python
- Skyline - real time anomaly detection for time series data
- Orion - unsupervised time series anomaly detection
- Multivariate State Estimation technique in python
- Isolation Forest — Auto Anomaly Detection with Python
- Python Library for Outlier Detection
- Deep isolation forest for anomaly detection
- PyOD
- GPU-accelerated Outlier Detection
Datasets:
- ELKI Outlier Datasets: https://elki-project.github.io/datasets/outlier
- Outlier Detection DataSets (ODDS): http://odds.cs.stonybrook.edu/#table1
- Unsupervised Anomaly Detection Dataverse: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OPQMVF
- Anomaly Detection Meta-Analysis Benchmarks: https://ir.library.oregonstate.edu/concern/datasets/47429f155
- Skoltech Anomaly Benchmark (SKAB): https://github.com/waico/skab