Alternatives and similar repositories for ABBA-LSTM

Users that are interested in ABBA-LSTM are comparing it to the libraries listed below

• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 5 years ago
• mirkosavasta / GANetano
  Generative Adversarial Network to create synthetic time series
  ☆23Updated 5 years ago
• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 4 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 9 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆68Updated 4 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 4 years ago
• huaweicloud / c2far_forecasting
  This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…
  ☆13Updated last year
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• tgcsaba / seq2tens
  Seq2Tens: An efficient representation of sequences by low-rank tensor projections
  ☆30Updated 2 years ago
• KurochkinAlexey / Recurrent-neural-processes
  Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
  ☆22Updated 6 years ago
• nla-group / ABBA
  A symbolic time series representation building Brownian bridges
  ☆17Updated 2 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆40Updated 2 years ago
• edouardpineau / Seq2VAR-multivariate-time-series-representation-learning
  Github page for the paper "Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive mod…
  ☆11Updated 5 years ago
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated last year
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆97Updated 6 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 5 years ago
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆85Updated 2 weeks ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 8 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated 2 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 6 years ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆49Updated last month
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆39Updated 3 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆80Updated 2 years ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆83Updated 5 months ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago