time-series-classification
There are 198 repositories under time-series-classification topic.
Xiaohan-Chen/TFPred
An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
nla-group/fABBA
A Python library for the fast symbolic approximation of time series
ashishpatel26/Introduction-to-Time-Series-forecasting
Time Series Analysis of Internation Air Passengers
TheDatumOrg/UCRArchiveFixes
2018 UCR Time-Series Archive: Backward Compatibility, Missing Values, and Varying Lengths
zqiao11/TSCIL
[KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation
mqwfrog/MHCCL
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
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'.
baraline/convst
Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up to date with the current version for now.
BorealisAI/TSC-Disc-Proto
Discriminative Prototypes learned by Dynamic Time Warping (DTW) for Time Series Classification (TSC)
Bsingstad/PhysioNet-CinC-Challenge2020-TeamUIO
Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs
Hyun-Ryu/simpsi
Official code for "SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation", AAAI 2024.
bhattbhavesh91/time_series_notebooks
My Experiments with Time Series
FilippoMB/Bidirectional-Deep-readout-Echo-State-Network
Multi-variate time series classification with a bi-directional ESN with a readout implemented as a deep neural network.
BFergerson/Chronetic
Analyzes chronological patterns present in time-series data and provides human-readable descriptions
boniolp/MSAD
[VLDB 2023] Model Selection for Anomaly Detection in Time Series
okozelsk/NET
Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.
flaviagiammarino/lstm-fcn-pytorch
PyTorch implementation of LSTM-FCN model for univariate time series classification.
BorgwardtLab/WTK
A Wasserstein Subsequence Kernel for Time Series.
hfawaz/miccai18
Evaluating surgical skills from kinematic data using convolutional neural networks
angus924/quant
QUANT: A Minimalist Interval Method for Time Series Classification
murali1996/time_series_classification_prediction
Different deep learning architectures are implemented for time series classification and prediction purposes.
AziziShekoofeh/Time-series-Classification
Classification of Time-series data with RNN
patrickzib/dictionary
WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Constrained Memory Time Series Classification
adrienpetralia/ApplianceDetectionBenchmark
[ACM e-Energy23] Appliance Detection Using Very Low Frequency Smart Meters Time Series
aybchan/time-series-classification
time series classification from scratch with deep neural networks (WIP)
giopaglia/ModalDecisionTrees.jl
Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!
sylvaincom/astride
[Preprint] Python implementation of "ASTRIDE: Adaptive Symbolization for Time Series Databases"
tallamjr/astronet
Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series
acampillos/sepsis-prediction
Early prediction of sepsis with gradient boosting (XGBoost) and deep learning (LSTM and GRU) using MIMIC-III data.
FlaAI/TSFool
Repository of paper "TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack" (ECAI'24)
marthadais/AISclassification
A geometric-driven semi-supervised approach for fishing activity detection from AIS data.
Goschjann/ssltsc
Codebase for the Paper "Deep Semi-supervised Learning (SSL) for Time Series Classification (TSC)" to appear at the ICMLA '21
marcusGH/edain_paper
Contains the implementation of the EDAIN and EDAIN-KL methods proposed in our paper. The research was also part of the MSc thesis I wrote in collaboration with American Express as part of my MSc in Statistics (Data Science) at Imperial College London
aclai-lab/ModalDecisionTrees.jl
Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!
davidemiani/hgdecode
Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.
zabir-nabil/activity-recognition-abc
SCAR-Net, Submission to the Cooking Activity Recognition Challenge, ABC: competition track