Alternatives and similar repositories for MAPIE

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

• scikit-learn-contrib / qolmat
  A scikit-learn-compatible module for comparing imputation methods.
  ☆139Updated last week
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆549Updated 3 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,563Updated last month
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆641Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆403Updated 2 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,374Updated last month
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆924Updated 8 months ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆617Updated last year
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆681Updated last month
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,083Updated this week
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,541Updated this week
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆584Updated last year
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,137Updated this week
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆723Updated 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…
  ☆676Updated 10 months ago
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆666Updated 2 weeks ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆550Updated 2 years ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆366Updated last month
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,177Updated last week
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆357Updated last month
• functime-org / functime
  Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
  ☆1,164Updated 3 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…
  ☆733Updated this week
• skforecast / skforecast
  Time series forecasting with machine learning models
  ☆1,426Updated last week
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆251Updated this week
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• probabl-ai / skore
  𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation re…
  ☆563Updated this week
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆438Updated last year
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆409Updated 2 months ago
• donlnz / nonconformist
  Python implementation of the conformal prediction framework.
  ☆475Updated 4 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆659Updated 11 months ago