Alternatives and similar repositories for vest

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

• vcerqueira / vest-python
  ☆28Updated 2 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 5 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• rakshitha123 / Localised_Ensembles
  This repository contains the experiments of our paper titled, "Ensembles of Localised Models for Time Series Forecasting" which is online…
  ☆14Updated 3 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• elephaint / hfas
  Hierarchical Forecasting at Scale
  ☆13Updated last year
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 5 years ago
• 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
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• microprediction / timeseries-elo-ratings
  Elo ratings for time-series forecasting packages
  ☆24Updated 3 years ago
• MSRDL / TSA
  Time Series Anomaly Detection Toolkit
  ☆22Updated 6 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 4 months ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆57Updated last year
• Techtonique / nnetsauce
  Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
  ☆19Updated this week
• neuralprophet / neural_prophet_lightning
  ☆10Updated 3 years ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 3 years ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆23Updated 2 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 4 months ago
• StatMixedML / Hyper-Trees
  Forecasting with Hyper-Trees
  ☆18Updated 9 months ago
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆39Updated last year
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• xqnwang / darima
  Distributed ARIMA Models
  ☆26Updated 2 years ago
• cyrilou242 / mockseries
  Easy and intuitive generation of synthetic timeseries for Python.
  ☆40Updated 10 months ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• rodrigobressan / keras_boston_housing_price
  Keras 101: A simple Neural Network for House Pricing regression
  ☆15Updated 5 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago