nehSgnaiL/LPA

Improving Next Location Prediction with Inferred Activity Semantics in Mobile Phone Data

/ 100

Experimental

No License No Package No Dependents

Maintenance 10 / 25

Adoption 5 / 25

Maturity 1 / 25

Community 0 / 25

Stars

Forks

—

Language

Python

License

—

Category

Last pushed

Feb 06, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/nehSgnaiL/LPA"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

OxWearables/stepcount

Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers

OxWearables/actinet

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

guillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM...

felixchenfy/Realtime-Action-Recognition

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that...

aqibsaeed/Human-Activity-Recognition-using-CNN

Convolutional Neural Network for Human Activity Recognition in Tensorflow