A unified framework for machine learning with time series

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

The machine learning toolkit for time series analysis in Python

List of papers, code and experiments using deep learning for time series forecasting

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

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

InceptionTime: Finding AlexNet for Time Series Classification

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

Resources for working with time series and sequence data

A comprehensive survey on the time series domains

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

MOMENT: A Family of Open Time-series Foundation Models

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Transfer learning for time series classification

Voice Activity Detection based on Deep Learning & TensorFlow

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.