Alternatives and similar repositories for ES_RNN

Users that are interested in ES_RNN are comparing it to the libraries listed below

• pmontman / fforma
  R package for Feature-based Forecast Model Averaging
  ☆35Updated 5 years ago
• ykang / gratis
  GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
  ☆76Updated last year
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 5 years ago
• robjhyndman / M4metalearning
  ☆116Updated 6 years ago
• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆47Updated 6 years ago
• closest-git / LiteMORT
  A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
  ☆56Updated 5 years ago
• business-science / modeltime.ensemble
  Time Series Ensemble Forecasting
  ☆80Updated last month
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆47Updated 3 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆82Updated 6 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• chenhaotian / Changepoints
  Bayesian online change point detection and offline learning
  ☆57Updated 5 years ago
• statcompute / mob
  Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
  ☆60Updated 4 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• business-science / modeltime.gluonts
  GluonTS Deep Learning with Modeltime
  ☆42Updated last year
• lrouviere / AGB
  These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.
  ☆17Updated 7 years ago
• liquidSVM / liquidSVM
  Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for no…
  ☆67Updated 5 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆48Updated 2 years ago
• vcerqueira / experiments-performance_estimation
  Comparing different performance estimation methods for time series forecasting tasks
  ☆37Updated 5 months ago
• AlbertoAlmuinha / boostime
  The Tidymodels Extension for Time Series Boosting Models
  ☆58Updated 3 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 7 months ago
• robjhyndman / tscompdata
  Time series competition data
  ☆18Updated 2 years ago
• trnnick / tsintermittent
  ☆13Updated 3 years ago
• JohnNay / predMarket
  Computational simulation framework for analyzing trading behavior in climate prediction markets
  ☆22Updated 5 years ago
• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 3 years ago
• robjhyndman / reconciliation_review_talk
  ☆12Updated 4 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 5 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• shabbychef / SharpeR
  R package for inference on the Sharpe ratio.
  ☆20Updated 9 months ago
• tharte / mbt
  R in Finance 2016 Seminar: Modern Bayesian Tools for Time Series Analysis
  ☆28Updated 9 years ago