hadifawaz1999

Elastic_Warping_Vis

Visualization of Elastic Warping of Time Series Data

UDA-4-TSC

Unsupervised Domain Adaptation for Time Series Classification

Hybrid-InceptionTime

filter1D_visualization

Visualization of 1D CNNs filters space for Time Series Analysis

Download-BDOrtho21

Automate the download and processing of BDOrtho21 data from IGN based on user-provided shapefiles.

dl-4-tsc

Deep Learning for Time Series Classification

LITE

LITE: Light Inception with boosTing tEchniques for Time Series Classification

DomainFoundationModelsTSC

Domain Foundation Models for Time Series Classification

Simple-KAN-4-Time-Series

A simple feature-based time series classifier using Kolmogorov–Arnold Networks

TRILITE

Self-supervised learning to boost time series classification models using a triplet loss mechanism.

ShapeDBA

Generating Time Series Prototypes with ShapeDTW Barycenter Averaging

KD-4-TSC

Applying knowledge distillation on FCN and Inception architectures for time series classification.

Evaluating-HMG

Evaluating Human Motion Generation Models

Augmenting-TSC-Elastic-Averaging

Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging

LidarHD-Download

Automate the download and processing of LidarHD data from IGN based on user-provided shapefiles. This Python tool supports optional rasterization with flexible class filtering and spatial resolution settings.

pykan

Kolmogorov Arnold Networks

repohistory

An open-source dashboard for tracking GitHub repo traffic history longer than 14 days.

SVAE-4-HMG

A Supervised VAE Based Gen Model for Human Motion

ECML-2024

aeon-neuro

A package for EEG time series classification built on the aeon toolkit.

generative-evaluation-prdc

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

functime

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Disjoint-CNN

Disjoint-CNN for Multivariate Time Series Classification

ConvTran

This is a PyTorch implementation of ConvTran

Multi_Comparison_Matrix

Multi Comparison Matrix: A long term approach to benchmark evaluations

tsc-pytorch

Time series classification using Deep Learning (Python)

MultiRocket

Multiple pooling operators and transformations for fast and effective time series classification

TimeVQVAE

[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

aeon

A toolkit for machine learning from time series

rocket

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