ajayarunachalam/msda
Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
129 stars. No commits in the last 6 months. Available on PyPI.
Stars
129
Forks
29
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 07, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ajayarunachalam/msda"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
raphaelvallat/antropy
AntroPy: entropy and complexity of (EEG) time-series in Python
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Minqi824/ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
vc1492a/PyNomaly
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier...