Alternatives and similar repositories for M4-methods:

Users that are interested in M4-methods are comparing it to the libraries listed below

• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆602Updated last year
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆872Updated last year
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆318Updated 5 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
• kdgutier / esrnn_torch
  ☆157Updated 3 years ago
• JEddy92 / TimeSeries_Seq2Seq
  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series for…
  ☆607Updated 5 years ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆597Updated 6 months ago
• jingw2 / demand_forecast
  ☆459Updated last year
• Azure / DeepLearningForTimeSeriesForecasting
  A tutorial demonstrating how to implement deep learning models for time series forecasting
  ☆664Updated 4 years ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆305Updated 3 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆574Updated 2 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆383Updated 4 years ago
• zalandoresearch / pytorch-ts
  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
  ☆1,281Updated 8 months ago
• laiguokun / LSTNet
  ☆673Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆388Updated 9 months ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆460Updated last month
• 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
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆514Updated 2 years ago
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,193Updated last week
• cuge1995 / awesome-time-series
  list of papers, code, and other resources
  ☆981Updated 7 months ago
• laiguokun / multivariate-time-series-data
  ☆798Updated 7 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• robjhyndman / M4metalearning
  ☆116Updated 5 years ago
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,800Updated 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
• 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
• ourownstory / AR-Net
  A simple Auto-Regressive Neural Network for time-series
  ☆172Updated 3 years ago
• cchallu / nbeatsx
  ☆192Updated 3 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆210Updated last year
• LukeTonin / keras-seq-2-seq-signal-prediction
  An implementation of a sequence to sequence neural network using an encoder-decoder
  ☆210Updated 5 years ago