# ajayarunachalam/msda

<https://repo.masters-masters.com/en/repos/ajayarunachalam/msda>

[Home](https://repo.masters-masters.com/en) › [ajayarunachalam](https://repo.masters-masters.com/en/owners/ajayarunachalam) › [msda](https://repo.masters-masters.com/en/repos/ajayarunachalam/msda)

ajayarunachalam/msda has 130 stars on GitHub. Its RepoMasters card: Prototype tier. Library for multi-dimensional, multi-sensor, uni/multivariate time series…

| Field | Value |
| --- | --- |
| Owner | [ajayarunachalam](https://repo.masters-masters.com/en/owners/ajayarunachalam) |
| Stars | 130 |
| Forks | 30 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2021 |
| Topics | signal-processing, sensor-data, sensor, time-series, python, data-analysis, feature-selection, feature-engineering, variation, visualization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ajayarunachalam/msda](https://github.com/ajayarunachalam/msda) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by ajayarunachalam

- [ajayarunachalam/Deep\_XF · ★ 119 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/ajayarunachalam/Deep_XF)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
