Time Series Classification

sktimePython

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

Forecasting with 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.

Deep stacked residual bidirectional LSTMs for HARPython

A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.

Human-Activity-RecognitionJupyter Notebook

A machine learning project comparing topological and statistical feature extraction for classifying human activities from smartphone and smartwatch sensor data.

LSTM for Kaggle EEG Detection competition (Torch Code)Lua

Trains LSTM and CNN models for EEG-based grasp-and-lift detection using Kaggle competition data.