Alternatives and similar repositories for ALEPython

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

• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated 2 years ago
• DanaJomar / PyALE
  ALE Plots with python
  ☆67Updated last year
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆361Updated 4 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆439Updated 2 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 9 months ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆231Updated 2 years ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆402Updated 3 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆139Updated 5 months ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆496Updated 2 weeks ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆190Updated 6 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆283Updated last week
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆201Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆643Updated last year
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆70Updated 2 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆164Updated 5 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆623Updated 10 months ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆325Updated 2 years ago
• donlnz / nonconformist
  Python implementation of the conformal prediction framework.
  ☆478Updated 4 years ago
• 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
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated 3 weeks ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆421Updated 2 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆298Updated last week
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆149Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 5 years ago