A unified framework for machine learning with time series

The machine learning toolkit for time series analysis in Python

A Python package for time series classification

Deep Learning for Time Series Classification

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

A toolkit for machine learning from time series

InceptionTime: Finding AlexNet for Time Series Classification

DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

Transfer learning for time series classification

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification, clustering, forecasting, and much more!

Voice Activity Detection based on Deep Learning & TensorFlow

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

Data augmentation using synthetic data for time series classification with deep residual networks

Deep Neural Network Ensembles for Time Series Classification

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.

Python framework for automated time series classification, regression and forecasting

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.