Back to rankings

guillaume-chevalier / LSTM-Human-Activity-Recognition

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

Repository stars
3,490All-time #17,767
Fork
928
Last push
updated 4 years ago
Repository created
since 2016
Datasets & evaluationsText datasetsJupyter NotebookMIT · Permissive
View source

About

Summarised by AI from the README; the original prevails

Author description: 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

Basic listing based on official public information; functionality has not been independently evaluated.

Check before adopting

  • No pushes for over 6 months (last 2022-11-06); check whether it is maintained.
Platform
Not verified
Pricing
Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
Maintenance notes
Not verified

Star trend

3,4903,4913,49111-03 · 3,49011-06 · 3,49010-0810-1310-1810-2310-2811-0211-06
Raw observations · 3
Historical observations
Measured atRepository starsSource
2026-11-07 02:06 UTC3,490Source
2026-11-06 10:54 UTC3,490Source
2026-11-03 09:41 UTC3,490Source

First collected 2026-11-03Measured at 2026-11-07 02:06 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.