telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

keras tensorflow deep-learning

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1.1k Stars

257 Forks

1.1k Watchers

Jupyter Notebook Language

other License

Cost to Build

$59.9K

Market Value

$235.9K

How is this calculated?

Growth over time

11 data points · 2021-08-01 → 2025-07-01

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What is the khundman/telemanom GitHub project? Description: "A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone telemanom

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git clone https://github.com/khundman/telemanom.git

Clone via SSH

[email protected]:khundman/telemanom.git

Download ZIP

Download master.zip

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