Alternatives and similar repositories for AR-Net:

Users that are interested in AR-Net are comparing it to the libraries listed below

• kdgutier / esrnn_torch
  ☆157Updated 3 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆139Updated 3 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆82Updated 2 years ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆193Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆597Updated 6 months ago
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆245Updated 2 months ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆305Updated 3 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 10 months ago
• salesforce / DeepTime
  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
  ☆355Updated last year
• cchallu / n-hits
  ☆176Updated last year
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆872Updated last year
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆177Updated last year
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆318Updated 5 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆388Updated 9 months 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
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆383Updated 4 years ago
• jingw2 / demand_forecast
  ☆458Updated last year
• 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
• salesforce / ETSformer
  PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
  ☆269Updated 9 months ago
• gautham20 / pytorch-ts
  Tutorials on using encoder decoder architecture for time series forecasting
  ☆113Updated 3 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆251Updated 5 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated last year
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆68Updated 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
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆87Updated 2 weeks ago
• Daniela-Shereen / GBRT-for-TSF
  ☆197Updated last year
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆745Updated 6 months ago
• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆761Updated 4 years ago
• greatwhiz / tft_tf2
  Temporal Fusion Transformers for Tensorflow 2.x
  ☆162Updated last year