Alternatives and similar repositories for ABBA-LSTM

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

• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 4 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 8 months ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆42Updated 2 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 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
• mirkosavasta / GANetano
  Generative Adversarial Network to create synthetic time series
  ☆23Updated 4 years ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 4 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 / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• tgcsaba / seq2tens
  Seq2Tens: An efficient representation of sequences by low-rank tensor projections
  ☆30Updated last year
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• KurochkinAlexey / Self-boosted-Time-series-Forecasting
  Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…
  ☆31Updated 5 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• nla-group / ABBA
  A symbolic time series representation building Brownian bridges
  ☆17Updated 2 years ago
• firmai / mtss-gan
  MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
  ☆94Updated 4 years ago
• rtavenar / LDPS
  Learning DTW-Preserving Shapelets
  ☆23Updated last year
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆39Updated 3 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 6 years ago
• weilai0980 / IMV-LSTM
  Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series
  ☆48Updated 4 years ago
• deepcharles / tutorials-mva-2022
  Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)
  ☆11Updated 3 years ago
• KurochkinAlexey / Recurrent-neural-processes
  Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
  ☆22Updated 5 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 9 years ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆45Updated 2 months ago
• edebrouwer / sporadic_ccm
  Pytorch implementation of "Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series"
  ☆9Updated 5 years ago
• jmarecek / OnlineLDS
  Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…
  ☆19Updated 4 years ago
• ServiceNow / TACTiS
  TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
  ☆136Updated last year