Alternatives and similar repositories for seq2tens

Users that are interested in seq2tens are comparing it to the libraries listed below

• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated last year
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 7 months ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆36Updated last year
• jambo6 / generalised-signature-method
  Code for: "A Generalised Signature Method for Time Series"
  ☆63Updated last year
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated last year
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆70Updated 3 years ago
• sanatonek / time_series_explainability
  ☆61Updated 4 years ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 3 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆38Updated 2 years ago
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆61Updated 10 months ago
• tianlinxu312 / cot-gan
  COT-GAN: Generating Sequential Data via Causal Optimal Transport
  ☆38Updated 3 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆48Updated 2 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 3 years ago
• datasig-ac-uk / signature_applications
  Example applications of path signatures
  ☆39Updated 2 months ago
• jsyoon0823 / Clairvoyance
  Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"
  ☆13Updated 4 years ago
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆118Updated 4 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆47Updated 2 years ago
• duongtrung / time-series-temporal-saliency-patterns
  ☆16Updated last year
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 3 years ago
• ahmedmalaa / Fourier-flows
  ☆18Updated 3 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆69Updated 4 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆15Updated 4 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• amber0309 / ANM-MM
  Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"
  ☆22Updated 5 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆24Updated 5 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆17Updated last year