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

Date Created 2021-02-03 (3 years ago)

Commits 52 (last one 2 years ago)

Stargazers 123 (0 this week)

Watchers 8 (0 this week)

Forks 31

License other

Ranking

RepositoryStats indexes 565,279 repositories, of these ajayarunachalam/msda is ranked #246,215 (56th percentile) for total stargazers, and #241,498 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,834/16,285.

ajayarunachalam/msda is also tagged with popular topics, for these it's ranked: python (#11,086/21414), deep-learning (#4,451/8171), pytorch (#3,147/5822), visualization (#909/1541), data-analysis (#360/642), time-series (#333/633), deep-neural-networks (#354/618), anomaly-detection (#144/308), signal-processing (#99/208), feature-engineering (#67/110)

All Topics

python sensor pytorch variation correlation multisensor sensor-data time-series tabular-data data-analysis deep-learning visualization anomaly-detection feature-selection signal-processing feature-engineering deep-neural-networks multidimensional-data anamoly-detection-using-graphs explainable-artificial-intelligence

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updated: 2024-09-26 @ 08:37am, id: 335700054 / R_kgDOFAJgVg