Alternatives and similar repositories for esrnn_torch:

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

• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆320Updated 5 years ago
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆168Updated 5 years ago
• rakshitha123 / TSForecasting
  This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time…
  ☆226Updated 2 years ago
• cchallu / nbeatsx
  ☆197Updated 3 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆74Updated 3 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆402Updated 11 months ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆137Updated 3 years ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆110Updated 6 months ago
• cchallu / n-hits
  ☆180Updated 2 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆83Updated 2 years ago
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆92Updated 2 weeks ago
• ourownstory / AR-Net
  A simple Auto-Regressive Neural Network for time-series
  ☆177Updated 3 years ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆195Updated last year
• rshyamsundar / gluonts-hierarchical-ICML-2021
  ☆41Updated 2 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆387Updated 5 years ago
• gautham20 / pytorch-ts
  Tutorials on using encoder decoder architecture for time series forecasting
  ☆114Updated 3 years ago
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆246Updated 4 months ago
• robjhyndman / M4metalearning
  ☆116Updated 5 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆258Updated 5 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆173Updated 2 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆878Updated 2 years ago
• jingw2 / demand_forecast
  ☆462Updated last year
• jjdabr / forecastNet
  Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series F…
  ☆97Updated 4 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated last year
• Daniela-Shereen / GBRT-for-TSF
  ☆197Updated 2 years ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆91Updated last month
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆307Updated 3 years ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 4 years ago