Topic: "time-series-classification"
sktime/sktime
A unified framework for machine learning with time series
Language: Python - Size: 77.3 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 9,083 - Forks: 1,629

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
Language: Jupyter Notebook - Size: 1.44 GB - Last synced at: 26 days ago - Pushed at: 4 months ago - Stars: 5,629 - Forks: 690

tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
Language: Python - Size: 7.1 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 2,991 - Forks: 349

Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 2,703 - Forks: 531

johannfaouzi/pyts
A Python package for time series classification
Language: Python - Size: 7.53 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 1,816 - Forks: 170

hfawaz/dl-4-tsc
Deep Learning for Time Series Classification
Language: Python - Size: 688 KB - Last synced at: 25 days ago - Pushed at: about 2 years ago - Stars: 1,621 - Forks: 571

aeon-toolkit/aeon
A toolkit for machine learning from time series
Language: Python - Size: 105 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1,187 - Forks: 207

curiousily/Deep-Learning-For-Hackers
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)
Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: 24 days ago - Pushed at: about 5 years ago - Stars: 1,048 - Forks: 439

vlawhern/arl-eegmodels
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
Language: Python - Size: 71.3 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 936 - Forks: 274

KimMeen/Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Size: 298 KB - Last synced at: 2 days ago - Pushed at: 10 months ago - Stars: 764 - Forks: 66

hfawaz/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
Language: Python - Size: 743 KB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 675 - Forks: 155

sktime/sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
Language: Python - Size: 1.32 MB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 598 - Forks: 79

lmmentel/awesome-time-series
Resources for working with time series and sequence data
Size: 171 KB - Last synced at: 23 days ago - Pushed at: 5 months ago - Stars: 596 - Forks: 90

cure-lab/Awesome-time-series
A comprehensive survey on the time series domains
Size: 953 KB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 532 - Forks: 50

moment-timeseries-foundation-model/moment
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
Language: TypeScript - Size: 13.3 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 521 - Forks: 80

angus924/rocket
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Language: Python - Size: 43 KB - Last synced at: 21 days ago - Pushed at: about 3 years ago - Stars: 440 - Forks: 59

White-Link/UnsupervisedScalableRepresentationLearningTimeSeries
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
Language: Jupyter Notebook - Size: 2.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 392 - Forks: 93

hushuguo/awesome-time-series-papers
This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.
Size: 215 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 384 - Forks: 13

FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification, clustering, forecasting, and much more!
Language: Python - Size: 15.2 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 379 - Forks: 85

hfawaz/bigdata18
Transfer learning for time series classification
Language: Python - Size: 3.57 MB - Last synced at: 28 days ago - Pushed at: about 6 years ago - Stars: 379 - Forks: 68

filippogiruzzi/voice_activity_detection
Voice Activity Detection based on Deep Learning & TensorFlow
Language: Python - Size: 238 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 363 - Forks: 69

angus924/minirocket
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Language: Python - Size: 55.7 KB - Last synced at: 27 days ago - Pushed at: about 3 years ago - Stars: 311 - Forks: 37

eai2x/TimeSeriesMoonlightBox
time series analysis models source code
Language: Jupyter Notebook - Size: 41.3 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 241 - Forks: 77

VSainteuf/pytorch-psetae
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Language: Python - Size: 1.98 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 198 - Forks: 43

hfawaz/aaltd18
Data augmentation using synthetic data for time series classification with deep residual networks
Language: Python - Size: 245 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 185 - Forks: 42

Geocene/trainset
A lightweight web application for brushing labels onto time series data; useful for building training sets.
Language: JavaScript - Size: 20.6 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 156 - Forks: 34

FilippoMB/python-time-series-handbook
Book and material for the course "Time series analysis with Python" (STA-2003)
Language: Jupyter Notebook - Size: 350 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 141 - Forks: 29

hfawaz/ijcnn19ensemble
Deep Neural Network Ensembles for Time Series Classification
Language: Python - Size: 307 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 111 - Forks: 38

PetoLau/TSrepr
TSrepr: R package for time series representations
Language: R - Size: 837 KB - Last synced at: about 11 hours ago - Pushed at: almost 5 years ago - Stars: 96 - Forks: 23

dream-faster/fold
🪁 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.
Language: Python - Size: 7 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 5

aimclub/Fedot.Industrial
Python framework for automated time series classification, regression and forecasting
Language: Python - Size: 404 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 88 - Forks: 9

mims-harvard/Raincoat
Domain Adaptation for Time Series Under Feature and Label Shifts
Language: Jupyter Notebook - Size: 2.31 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 87 - Forks: 10

VSainteuf/lightweight-temporal-attention-pytorch
A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification
Language: Python - Size: 935 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 78 - Forks: 17

hfawaz/ijcnn19attacks
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Language: Jupyter Notebook - Size: 4.77 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 77 - Forks: 28

vfeofanov/mantis
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 69 - Forks: 4

BGU-CS-VIL/dtan
Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
Language: Jupyter Notebook - Size: 9.22 MB - Last synced at: 27 days ago - Pushed at: 7 months ago - Stars: 68 - Forks: 15

eonu/sequentia
Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
Language: Python - Size: 43.7 MB - Last synced at: about 13 hours ago - Pushed at: 6 months ago - Stars: 64 - Forks: 9

ChangWeiTan/MultiRocket
Multiple pooling operators and transformations for fast and effective time series classification
Language: TypeScript - Size: 57.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 59 - Forks: 16

angus924/hydra
HYDRA: Competing convolutional kernels for fast and accurate time series classification
Language: Python - Size: 686 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 53 - Forks: 5

nla-group/fABBA
A Python library for the fast symbolic approximation of time series
Language: Python - Size: 550 MB - Last synced at: about 12 hours ago - Pushed at: about 1 month ago - Stars: 45 - Forks: 11

TheDatumOrg/UCRArchiveFixes
2018 UCR Time-Series Archive: Backward Compatibility, Missing Values, and Varying Lengths
Language: MATLAB - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 41 - Forks: 43

ashishpatel26/Introduction-to-Time-Series-forecasting
Time Series Analysis of Internation Air Passengers
Language: Jupyter Notebook - Size: 8.02 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 40 - Forks: 18

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.
Language: Python - Size: 12.4 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 34 - Forks: 8

boniolp/MSAD
[VLDB 2023] Model Selection for Anomaly Detection in Time Series
Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 33 - Forks: 6

BorealisAI/TSC-Disc-Proto
Discriminative Prototypes learned by Dynamic Time Warping (DTW) for Time Series Classification (TSC)
Language: Python - Size: 44.9 KB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 32 - Forks: 2

Hyun-Ryu/simpsi
Official code for "SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation", AAAI 2024.
Language: Python - Size: 188 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 30 - Forks: 7

mqwfrog/MHCCL
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
Language: Python - Size: 5.06 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 30 - Forks: 10

Xiaohan-Chen/TFPred
An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
Language: Python - Size: 116 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 26 - Forks: 3

FilippoMB/Bidirectional-Deep-readout-Echo-State-Network
Multivariate time series classification with a bi-directional ESN with a deep neural network readout.
Language: Python - Size: 10.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 25 - Forks: 11

Bsingstad/PhysioNet-CinC-Challenge2020-TeamUIO
Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs
Language: Jupyter Notebook - Size: 45.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 10

bhattbhavesh91/time_series_notebooks
My Experiments with Time Series
Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 25 - Forks: 30

BFergerson/Chronetic
Analyzes chronological patterns present in time-series data and provides human-readable descriptions
Language: Java - Size: 101 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 1

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'.
Language: Python - Size: 4.63 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 23 - Forks: 1

angus924/quant
QUANT: A Minimalist Interval Method for Time Series Classification
Language: Python - Size: 41 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 22 - Forks: 3

okozelsk/NET 📦
Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.
Language: C# - Size: 18.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 6

hfawaz/miccai18
Evaluating surgical skills from kinematic data using convolutional neural networks
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 22 - Forks: 9

BorgwardtLab/WTK
A Wasserstein Subsequence Kernel for Time Series.
Language: Python - Size: 208 KB - Last synced at: 22 days ago - Pushed at: 12 months ago - Stars: 21 - Forks: 7

murali1996/time_series_classification_prediction
Different deep learning architectures are implemented for time series classification and prediction purposes.
Language: Python - Size: 157 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 6

AziziShekoofeh/Time-series-Classification
Classification of Time-series data with RNN
Language: Python - Size: 40 KB - Last synced at: 4 days ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 4

patrickzib/dictionary
WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Constrained Memory Time Series Classification
Language: Jupyter Notebook - Size: 8.41 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 17 - Forks: 4

sylvaincom/astride
[EUSIPCO 2024] Python implementation of "ASTRIDE: Adaptive Symbolization for Time Series Databases"
Language: Jupyter Notebook - Size: 5.76 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 17 - Forks: 3

flaviagiammarino/lstm-fcn-pytorch
PyTorch implementation of LSTM-FCN model for univariate time series classification.
Language: Python - Size: 8.52 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 3

aybchan/time-series-classification
time series classification from scratch with deep neural networks (WIP)
Language: Python - Size: 21.5 KB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 16 - Forks: 8

giopaglia/ModalDecisionTrees.jl Fork of JuliaAI/DecisionTree.jl 📦
Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!
Language: Julia - Size: 4.74 MB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 15 - Forks: 2

tallamjr/astronet
Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series
Language: Jupyter Notebook - Size: 623 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 3

FlaAI/TSFool
Repository of paper "TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack" (ECAI'24)
Language: Python - Size: 202 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 13 - Forks: 1

ANR-MYEL/SelF-Rocket
Code related to the paper "Time series classification with random convolution kernels: pooling operators and input representations matter"
Language: Python - Size: 2.9 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 0

aclai-lab/ModalDecisionTrees.jl
Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!
Language: Julia - Size: 2.84 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 11 - Forks: 2

zabir-nabil/activity-recognition-abc
SCAR-Net, Submission to the Cooking Activity Recognition Challenge, ABC: competition track
Language: Jupyter Notebook - Size: 446 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 0

Yutsuro/pytorch-time-series-classification
Simple model creation for time series classification in Pytorch
Language: Python - Size: 25.4 KB - Last synced at: 30 days ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 1

adrienpetralia/ApplianceDetectionBenchmark
[ACM e-Energy23] Appliance Detection Benchmark Using Very Low Frequency Smart Meters Time Series
Language: Python - Size: 733 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 1

lucylow/Yeezy-Taught-Me
Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus
Language: JavaScript - Size: 686 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 1

adrienpetralia/TransApp
[VLDB 2024] ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
Language: Python - Size: 494 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 9 - Forks: 0

acampillos/sepsis-prediction
Early prediction of sepsis with gradient boosting (XGBoost) and deep learning (LSTM and GRU) using MIMIC-III data.
Language: Jupyter Notebook - Size: 318 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 1

hfawaz/DreamTime
InceptionTime: Finding AlexNet for Time Series Classification
Size: 543 KB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 1

hfawaz/ijcars19
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Language: Python - Size: 835 KB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 5

time-series-machine-learning/tsml-py
A toolkit for time series machine learning algorithms.
Language: Python - Size: 726 KB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 8 - Forks: 1

Goschjann/ssltsc
Codebase for the Paper "Deep Semi-supervised Learning (SSL) for Time Series Classification (TSC)" to appear at the ICMLA '21
Language: Python - Size: 4.11 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 1

hadaev8/physionet_2017_rcrnn
Solving physionet2017 with RCRNN
Language: Jupyter Notebook - Size: 85 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 0

VincentSch4rf/torchtime
Datasets, Transforms and Models specific to Time Series, powered by PyTorch
Language: Python - Size: 1.23 MB - Last synced at: 28 days ago - Pushed at: 8 months ago - Stars: 7 - Forks: 0

angus924/aaltd2024
Highly Scalable Time Series Classification for Very Large Datasets
Language: Python - Size: 261 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 7 - Forks: 1

flaviagiammarino/stanford-hypoglycemia-forecasting
A machine learning model for week-ahead hypoglycemia prediction from continuous glucose monitoring data.
Language: Python - Size: 1.05 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 1

ashishpatel26/Shapelet-time-Series-Classification
Shapelet time Series Classification with tslearn
Language: Jupyter Notebook - Size: 281 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 2

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
Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

carlvilla/Multi-CTBNCs
Tool for learning and applying multi-dimensional continuous-time Bayesian network classifiers.
Language: Java - Size: 140 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

sevakon/shallow-rnns
This repository is a PyTorch implementation of NIPS 2019 Paper "Shallow RNNs: A Method for Accurate Time-series Classification on Tiny Devices"
Language: Python - Size: 18.6 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 2

Ladbaby/PyOmniTS
🔬 A Researcher-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!
Language: Python - Size: 5.54 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 5 - Forks: 2

marthadais/AISclassification
A geometric-driven semi-supervised approach for fishing activity detection from AIS data.
Language: Jupyter Notebook - Size: 1.11 GB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2

pedrojuanbj/MLTSA
Machine Learning Transition State Analysis (MLTSA) suite with Analytical models to create data on demand and test the approach on different types of data and ML models.
Language: Jupyter Notebook - Size: 497 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 5

mlgig/video-pose-tsc
Language: TypeScript - Size: 61.9 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

FilippoMB/Time-Series-Cluster-Kernel
Kernel similarity for classification and clustering of multi-variate time series with missing values.
Language: Jupyter Notebook - Size: 4.63 MB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

ProjectTimeSeriesClassificationUniUlm/EnsembleBasedTSC
Project based on the paper 'Deep Neural Network Ensembles for Time Series Classification' (2019)
Language: TypeScript - Size: 79.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

irkri/fruits
FRUITS - Feature Extraction Using Iterated Sums
Language: Jupyter Notebook - Size: 8.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

foryichuanqi/TKDE-Paper-2023.10-Time-series-classification-by-MEB-ResNet
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.
Language: Python - Size: 1.62 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

haoranD/HAR-DL
Pytorch Human Activity Recognition based on wearable sensors
Language: Python - Size: 13.7 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

kcg2015/fiber_cuts_prediction
Time Series Analyses and Machine Learning for Classifying Events prior to Fiber Cuts
Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

flaneur-ml/TDA4TS_CLF
Topological Data Analysis for Time Series Classification
Language: Jupyter Notebook - Size: 309 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 1

inEXASCALE/llm-abba
Time series analysis with LLM-ABBA: A symbolic approach
Language: TypeScript - Size: 48.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 2

xmootoo/sss-official
A framework for variable-length time series classification (VSTC) with local signal interpretability.
Language: Python - Size: 18.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

samresume/ChronoGAN
This advanced framework integrates the benefits of an Autoencoder-generated embedding space with the adversarial training dynamics of GANs for time series generation..
Language: Jupyter Notebook - Size: 7.85 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0
