Time Series Classification

Forecasting with sktimePython

A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.

sktimePython

A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.

LSTM for Human Activity RecognitionJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

Classification on raw time series in TensorFlow with a LSTM RNNJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

tslearnPython

A Python machine learning toolkit for time series analysis with scikit-learn compatible API.