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
  ☆156Updated 4 years ago
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆257Updated last year
• PYFTS / pyFTS
  An open source library for Fuzzy Time Series in Python
  ☆280Updated last year
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆138Updated 4 years ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 3 weeks ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆319Updated 6 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆86Updated 3 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆599Updated last year
• gautham20 / pytorch-ts
  Tutorials on using encoder decoder architecture for time series forecasting
  ☆117Updated 4 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated 2 years ago
• allen-chiang / Time-Series-Transformer
  A data preprocessing package for time series data. Design for machine learning and deep learning.
  ☆215Updated 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…
  ☆170Updated 5 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆440Updated last year
• 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 …
  ☆602Updated 3 years ago
• salesforce / DeepTime
  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
  ☆366Updated 9 months ago
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆155Updated last year
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆75Updated 4 years ago
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆383Updated 2 years ago
• DataCanvasIO / HyperTS
  A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
  ☆285Updated 9 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆310Updated 4 years ago
• firmai / tsgan
  Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))
  ☆122Updated 4 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆280Updated 5 years ago
• cchallu / n-hits
  ☆193Updated 2 years ago
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆118Updated this week
• angus924 / minirocket
  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
  ☆328Updated 3 years ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆129Updated last year
• greatwhiz / tft_tf2
  Temporal Fusion Transformers for Tensorflow 2.x
  ☆185Updated 2 years ago
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆458Updated 3 years ago