Alternatives and similar repositories for ALEPython

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

• DanaJomar / PyALE
  ALE Plots with python
  ☆64Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆424Updated last year
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆362Updated 3 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆386Updated last year
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆231Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆380Updated last year
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆185Updated 5 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆272Updated this week
• 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 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated 2 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆288Updated 4 months ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆155Updated 11 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆628Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆491Updated last year
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆230Updated 4 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last week
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• nickkunz / smogn
  Synthetic Minority Over-Sampling Technique for Regression
  ☆345Updated last year
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆327Updated 2 weeks ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆155Updated 11 months ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆639Updated 2 weeks ago
• donlnz / nonconformist
  Python implementation of the conformal prediction framework.
  ☆469Updated 4 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆166Updated last week
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago