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
  ☆509Updated 2 months ago
• scikit-learn-contrib / qolmat
  A scikit-learn-compatible module for comparing imputation methods.
  ☆137Updated last month
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆618Updated last year
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆620Updated last month
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,467Updated 2 weeks ago
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆916Updated last month
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆382Updated 10 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,344Updated last week
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆539Updated last year
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆670Updated last week
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆577Updated last year
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,032Updated 2 months ago
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆562Updated this week
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆316Updated last year
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆332Updated last week
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,410Updated this 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…
  ☆651Updated 4 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆208Updated last year
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆394Updated 2 weeks ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆421Updated 9 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,008Updated last week
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆135Updated 2 months ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆597Updated 7 months ago
• SelfExplainML / PiML-Toolbox
  PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
  ☆1,253Updated 2 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆163Updated 9 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆373Updated 11 months ago
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆612Updated this week
• donlnz / nonconformist
  Python implementation of the conformal prediction framework.
  ☆465Updated 4 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆412Updated last year
• aangelopoulos / conformal-prediction
  Lightweight, useful implementation of conformal prediction on real data.
  ☆899Updated last year