carlomazzaferro / scikit-hts

Related projects ⓘ

Alternatives and complementary repositories for scikit-hts

• MBrouns / timeseers
  Time should be taken seer-iously
  ☆311Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 7 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆369Updated 6 months ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆188Updated last year
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆56Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆143Updated 3 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆275Updated 5 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆243Updated 10 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆143Updated 9 months ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆179Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆236Updated 4 years ago
• ing-bank / probatus
  Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
  ☆132Updated 3 months ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆197Updated 8 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆248Updated this week
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆588Updated this week
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆210Updated this week
• heidelbergcement / hcrystalball
  A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…
  ☆151Updated 9 months ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆141Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆458Updated 5 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆157Updated last week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆200Updated 6 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆353Updated 3 months ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆114Updated 6 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆113Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆100Updated 4 months ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆87Updated 2 months ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆277Updated 6 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆357Updated 4 months ago
• dataiku-research / mealy
  Model Error Analysis for scikit-learn models.
  ☆28Updated 2 years ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆408Updated last month