Alternatives and similar repositories for ABBA-LSTM:

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

• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆47Updated 3 years ago
• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 3 years ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• nla-group / ABBA
  A symbolic time series representation building Brownian bridges
  ☆17Updated last year
• KurochkinAlexey / Recurrent-neural-processes
  Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
  ☆21Updated 5 years ago
• pratham16cse / AggForecaster
  Code for "Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts", IJCAI 2022
  ☆18Updated 2 years ago
• mirkosavasta / GANetano
  Generative Adversarial Network to create synthetic time series
  ☆23Updated 4 years ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 4 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 5 months ago
• Neal-Liu-Ziyi / Concept_Drift_Handling
  ☆12Updated 2 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆46Updated last year
• Koldh / LearnableGroupTransform-TimeSeries
  ☆8Updated 4 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
• RifleZhang / CORD_CPD
  Correlation-aware Change-point Detection via Graph Neural Networks
  ☆16Updated 4 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 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
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆44Updated 2 months ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years ago
• cgarciae / quantile-regression
  ☆22Updated 3 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated 3 weeks ago
• fmorenopino / SAAM
  Spectral Attention Autoregressive Model (SAAM)
  ☆15Updated 2 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
• tgcsaba / seq2tens
  Seq2Tens: An efficient representation of sequences by low-rank tensor projections
  ☆28Updated last year
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆23Updated 5 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 4 years ago
• bsouhaib / prob-hts
  Source code for Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data by Ben Taieb, Souhaib, Taylor, James, …
  ☆10Updated 5 years ago