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 3 years ago)

Stargazers 127 (0 this week)

Watchers 9 (0 this week)

Forks 31

License other

Ranking

RepositoryStats indexes 584,353 repositories, of these ajayarunachalam/msda is ranked #246,722 (58th percentile) for total stargazers, and #224,040 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,890/17,098.

ajayarunachalam/msda is also tagged with popular topics, for these it's ranked: python (#11,119/22011), deep-learning (#4,463/8389), pytorch (#3,153/5948), visualization (#908/1570), data-analysis (#358/661), time-series (#343/658), deep-neural-networks (#354/626), anomaly-detection (#149/328), signal-processing (#100/215), feature-engineering (#67/113)

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: 2024-11-08 @ 09:50pm, id: 335700054 / R_kgDOFAJgVg