#Time-series-classification
Showing 21 of 21 repositories tagged #time-series-classification, ranked by stars
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 time series machine learning and deep learning
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)
InceptionTime: Finding AlexNet for Time Series Classification
Resources for working with time series and sequence data
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
Voice Activity Detection based on Deep Learning & TensorFlow
Book and material for the course "Time series analysis with Python" (STA-2003)
time series analysis models source code
🪁 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.
[EMNLP 2025] Official implementation of "SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition"
TSrepr: R package for time series representations
Python framework for automated time series classification, regression and forecasting
🔬 A Researcher&Agent-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!
Adversarial Attacks on Deep Neural Networks for Time Series Classification