Alternatives and similar repositories for ABBA-LSTM

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

• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 5 years ago
• alasdairtran / radflow
  [TheWebConf 2021] Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
  ☆34Updated 2 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆75Updated 10 months 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
• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 4 years ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆46Updated 4 months ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 4 years ago
• tgcsaba / seq2tens
  Seq2Tens: An efficient representation of sequences by low-rank tensor projections
  ☆30Updated 2 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• KurochkinAlexey / Recurrent-neural-processes
  Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
  ☆22Updated 6 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 6 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆42Updated 2 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 4 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated 2 years ago
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆83Updated 2 weeks ago
• mlgig / mrsqm
  ☆28Updated 7 months ago
• mirkosavasta / GANetano
  Generative Adversarial Network to create synthetic time series
  ☆23Updated 5 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 last year
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 9 years ago
• RifleZhang / CORD_CPD
  Correlation-aware Change-point Detection via Graph Neural Networks
  ☆16Updated 4 years ago
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆39Updated 4 years ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆79Updated 3 months ago
• alan-turing-institute / bocpdms
  ☆33Updated 6 years ago
• grimmlab / ForeTiS
  Time Series Forecasting in Python
  ☆13Updated 7 months ago