fABBA
fABBA: A Python library for the fast symbolic approximation of time series - Published in JOSS (2024)
ModalDecisionTrees
Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!
https://github.com/timeseriesai/tsai
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
https://github.com/time-series-machine-learning/tsml-py
A toolkit for time series machine learning algorithms.
astronet
Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series
https://github.com/eonu/sequentia
Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
bayesian-disruption-prediction
Research-repository: Bayesian neural networks for predicting disruptions using EFIT and diagnostic data in KSTAR
https://github.com/patrickzib/dictionary
WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Constrained Memory Time Series Classification
cleaned-swansf-dataset
The SWAN-SF dataset is now fully preprocessed, optimized, and ready for binary classification tasks. Our team is excited to release the enhanced version of the SWAN-SF dataset across all five partitions.
https://github.com/yutsuro/pytorch-time-series-classification
Simple model creation for time series classification in Pytorch
swansf-datapreprocessing-sampling-notebooks
These notebooks provide a comprehensive workflow, from start to finish, for processing and analyzing the SWAN-SF dataset. They include detailed steps for reading the dataset files, performing full preprocessing, and executing classification.
https://github.com/boniolp/msad
[VLDB 2023] Model Selection for Anomaly Detection in Time Series
tsa-course
Book and material for the course "Time series analysis with Python" (STA-2003)
TSrepr R package
TSrepr R package: Time Series Representations - Published in JOSS (2018)
https://github.com/ahmedshahriar/time-series-projects
Collection of my Time series Analysis Projects
https://github.com/alagoz/drtsf
DRTSF: A New Feature-Based Framework Using Diverse Representations to Classify Time Series Efficiently and Effectively
time-series-classification
Time Series Classification Analysis of 21 algorithms on the UCR archive datasets + Introduction to a Convolution-based classifier with Feature Selection
https://github.com/filippomb/time-series-cluster-kernel
Kernel similarity for classification and clustering of multi-variate time series with missing values.
https://github.com/ai4healthuol/causalconceptts
Repository for the paper 'CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models'.
https://github.com/ai4healthuol/ecg-mimic
Repository for the paper 'Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care'.
disruption-prediciton-based-on-multimodal-deep-learning
Research-repository: Disruption Prediction and Analysis through Multimodal Deep Learning in KSTAR
stanford-hypoglycemia-forecasting
A machine learning model for week-ahead hypoglycemia prediction from continuous glucose monitoring data.