Alternatives and similar repositories for MAPIE

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

• henrikbostrom / crepes
  Python package for conformal prediction
  ☆539Updated last month
• scikit-learn-contrib / qolmat
  A scikit-learn-compatible module for comparing imputation methods.
  ☆141Updated 2 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,509Updated 2 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆638Updated last year
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆627Updated last week
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆919Updated 6 months ago
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,491Updated this week
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆579Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆545Updated 2 years ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆351Updated last week
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆664Updated last week
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,057Updated this week
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆392Updated 2 weeks ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,367Updated last week
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆673Updated 8 months ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆614Updated 11 months ago
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,088Updated 3 weeks ago
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆406Updated this week
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,156Updated last week
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆556Updated last week
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆712Updated 3 weeks ago
• donlnz / nonconformist
  Python implementation of the conformal prediction framework.
  ☆473Updated 4 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆246Updated 2 weeks ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆343Updated 3 months ago
• functime-org / functime
  Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
  ☆1,154Updated last month
• skforecast / skforecast
  Time series forecasting with machine learning models
  ☆1,398Updated last week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆797Updated 7 months ago
• facebookresearch / balance
  The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…
  ☆712Updated this week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated last month