Compare projects
Select 2–4 projects to compare on the same basis.
Only identical known values are hidden. Unknown information remains visible.
GLSTM-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
SChineseNlpCorpus
Collect, organize, and publish Chinese natural language processing corpus/data sets, and work with people with lofty ideals to promote the development of Chinese natural language processing.
Popularity
Repository stars3,4906,611Highest
7-day net stars——
Fork9281,417Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2022-11-062019-01-29
Maintenance notesNot verifiedNot verified
Repository created2016-05-182018-03-24
License & use
LicenseMIT · PermissiveLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeDatabases & dataDatabases & data
TypeDatasets & evaluationsDatasets & evaluations
SubcategoryText datasetsText datasets
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookJupyter Notebook
About this projectHuman Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume ChevalierCollect, organize, and publish Chinese natural language processing corpus/data sets, and work with people with lofty ideals to promote the development of Chinese natural language processing.
Measured at2026-11-03 09:41 UTC2026-11-03 08:24 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.