Alternatives and similar repositories for generalised_shapelets

Users that are interested in generalised_shapelets are comparing it to the libraries listed below

• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆40Updated 2 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 4 years ago
• tgcsaba / seq2tens
  Seq2Tens: An efficient representation of sequences by low-rank tensor projections
  ☆30Updated 2 years ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• BGU-CS-VIL / dtan
  Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…
  ☆68Updated 9 months ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• mlds-lab / interp-net
  Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.
  ☆94Updated last year
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆75Updated 10 months ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆97Updated 5 months ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆36Updated last year
• yantijin / ScoreGradPred
  Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
  ☆87Updated 7 months ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆70Updated 4 years ago
• EricssonResearch / UDA-4-TSC
  Unsupervised Domain Adaptation for Time Series Classification
  ☆30Updated last year
• fteufel / PyTorch-GRU-D
  PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…
  ☆26Updated 5 years ago
• Wensi-Tang / OS-CNN
  ☆141Updated 2 months ago
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆118Updated 4 years ago
• jambo6 / generalised-signature-method
  Code for: "A Generalised Signature Method for Time Series"
  ☆64Updated 2 years ago
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆118Updated 2 years ago
• okrasolar / pytorch-timeseries
  PyTorch implementations of neural networks for timeseries classification
  ☆111Updated 3 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 6 years ago
• baraline / convst
  Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up …
  ☆35Updated last year
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆142Updated 2 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆74Updated 3 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated 5 months ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 3 years ago
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆83Updated 2 years ago