Alternatives and similar repositories for M5-methods:

Users that are interested in M5-methods are comparing it to the libraries listed below

• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆769Updated 5 years ago
• kdgutier / esrnn_torch
  ☆157Updated 3 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆878Updated 2 years ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆307Updated 3 years ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆320Updated 5 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆403Updated 11 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• cuge1995 / awesome-time-series
  list of papers, code, and other resources
  ☆986Updated 9 months ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆110Updated 6 months ago
• jingw2 / demand_forecast
  ☆462Updated last year
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆594Updated this week
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆302Updated 10 months ago
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆68Updated 4 years ago
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆646Updated last week
• Azure / DeepLearningForTimeSeriesForecasting
  A tutorial demonstrating how to implement deep learning models for time series forecasting
  ☆670Updated 4 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆389Updated 5 years ago
• 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…
  ☆754Updated 8 months ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆195Updated 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…
  ☆226Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated 3 weeks ago
• Daniela-Shereen / GBRT-for-TSF
  ☆197Updated 2 years ago
• robjhyndman / M4metalearning
  ☆116Updated 5 years ago
• ourownstory / AR-Net
  A simple Auto-Regressive Neural Network for time-series
  ☆177Updated 3 years ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆612Updated last year
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆515Updated 2 years ago
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,268Updated this week
• 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 …
  ☆539Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆374Updated 9 months ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated 2 years ago