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
  ☆318Updated 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 4 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆139Updated 3 years ago
• cchallu / n-hits
  ☆176Updated last year
• cchallu / nbeatsx
  ☆192Updated 3 years ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆105Updated 4 months ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆73Updated 3 years ago
• Daniela-Shereen / GBRT-for-TSF
  ☆197Updated last year
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆251Updated 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…
  ☆220Updated 2 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆388Updated 9 months ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆383Updated 4 years ago
• rshyamsundar / gluonts-hierarchical-ICML-2021
  ☆39Updated 2 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆83Updated 2 years ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆193Updated 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 3 years ago
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆245Updated 2 months ago
• ourownstory / AR-Net
  A simple Auto-Regressive Neural Network for time-series
  ☆172Updated 3 years ago
• salesforce / ETSformer
  PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
  ☆269Updated 9 months ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 4 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆291Updated 8 months ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 10 months ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆872Updated last year
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆209Updated 4 years ago
• tianchen101 / MQRNN
  Multi-Quantile Recurrent Neural Network for Quantile Regression
  ☆63Updated 4 years ago
• ServiceNow / N-BEATS
  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …
  ☆533Updated 2 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆236Updated 2 years ago
• oneday88 / deepTCN
  ☆152Updated 3 years ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆107Updated last year