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Rank #2,247 3,487 starsJupyter Notebook

LSTM-Human-Activity-Recognition

by guillaume-chevalier (personal account)

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier (description from the project’s GitHub page)

Repository facts

Stars
3,487
Forks
930
Open issues and pull requests
22
Primary language
Jupyter Notebook
License
MIT License (MIT)
Owner
guillaume-chevalier · Personal account
Created
May 18, 2016
Last push
Nov 6, 2022

Topics

Rank #2,247 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

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