RED CoMETS: an ensemble classifier for symbolically represented multivariate time series

A machine learning model for week-ahead hypoglycemia prediction from continuous glucose monitoring data.

ML workflow designed for processing neurophysiological MEA data

A centralized dataset repository for Driver Behavior Time Series Classification

2020新网银行金融科技挑战赛 AI算法赛道A榜14, B榜16解决方案

COSTI: classification of sequences of temporal intervals

Datasets, Transforms and Models specific to Time Series, powered by PyTorch

Detect the floor type (concrete, carpet etc.) using robot accelerometer measurements (University project)

Simple model creation for time series classification in Pytorch

Data pipeline to process raw accelerometer data into dataframes that are usable for time series classification algorithms.

Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.

Neural Density Estimation for Time Series Classification

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series

[VLDB 2024] ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series

Repository of the Multi-TSFool method proposed in paper "TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack".

Paper: Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers. We proposed a highly easy-to-use performance enhancement framework called multi-scale ensemble booster(MEB), helping existing time series classification methods achieve performance leap. Our proposed MEB-ResNet achieved the most advanced time series classification ability.

QUANT: A Minimalist Interval Method for Time Series Classification

PyTorch implementation of InceptionTime model for multivariate time series classification.