Alternatives and similar repositories for scikit-hts

Users that are interested in scikit-hts are comparing it to the libraries listed below

• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆316Updated 2 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆412Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆195Updated last year
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated 2 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆155Updated last year
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆316Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆150Updated 2 months ago
• heidelbergcement / hcrystalball
  A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…
  ☆150Updated last year
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆271Updated last week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆208Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated 2 months ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆240Updated 4 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆144Updated last year
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆423Updated 8 months ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• dataiku-research / mealy
  Model Error Analysis for scikit-learn models.
  ☆29Updated 3 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆373Updated 11 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆231Updated this week
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆164Updated 4 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆115Updated 2 years ago
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆52Updated last year
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆286Updated last year
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆72Updated last week
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago