activity-recognition-using-various-ml-algorithms

A curated list of action recognition and related area resources

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

scikit-learn cross validators for iterative stratification of multilabel data

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Time Series Cross-Validation -- an extension for scikit-learn

HAKE-Action in PyTorch

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.