Alternatives and similar repositories for PyALE

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

• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆243Updated last week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆114Updated 3 weeks ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆384Updated last year
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆406Updated 2 weeks ago
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆53Updated last year
• pymc-devs / pymc-bart
  ☆122Updated this week
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆283Updated last week
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆119Updated 7 months ago
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆31Updated 3 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆339Updated 2 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆66Updated last week
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆198Updated 2 weeks ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆67Updated 3 years ago
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆50Updated last week
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆29Updated last week
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆101Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 2 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆88Updated last week
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆68Updated 2 years ago