Shapley Interactions and Shapley Values for Machine Learning
☆702Mar 20, 2026Updated this week
Alternatives and similar repositories for shapiq
Users that are interested in shapiq are comparing it to the libraries listed below
Sorting:
- Scoring Lists – a probabilistic & incremental extension to Scoring Systems☆18Jan 20, 2026Updated 2 months ago
- Advanced choice modeling with multidimensional utility representations.☆12Jun 21, 2024Updated last year
- Specificy, execute and monitor performances of active learning pipelines.☆24Oct 1, 2024Updated last year
- Feedback Forensics: An open-source toolkit to measure AI personality☆24Dec 2, 2025Updated 3 months ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆56Dec 26, 2024Updated last year
- Pairwise Difference Learning (PDL) is a meta-learning framework that leverages pairwise differences to transform multiclass problems into…☆22Aug 27, 2025Updated 6 months ago
- Effector - a Python package for global and regional effect methods☆117Updated this week
- Uncertainty Representation and Quantification for Machine Learning 🤔☆33Updated this week
- Python package for conformal prediction☆558Oct 9, 2025Updated 5 months ago
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…☆23Feb 20, 2026Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆195Mar 8, 2026Updated 2 weeks ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,525Updated this week
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,185Mar 1, 2026Updated 3 weeks ago
- A Library for Conformal Hyperparameter Tuning☆104Nov 24, 2025Updated 3 months ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Feb 6, 2025Updated last year
- Calibrated Random Forests☆40May 10, 2020Updated 5 years ago
- ☆15Jun 4, 2025Updated 9 months ago
- ⚡ TabPFN: Foundation Model for Tabular Data ⚡☆5,890Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆377Updated this week
- ☆14Nov 3, 2025Updated 4 months ago
- For calculating global feature importance using Shapley values.☆285Updated this week
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆279Aug 15, 2025Updated 7 months ago
- Bivariate Shapley is a Shapley-based method of identifying directional feature interactions and feature redundancy☆20May 19, 2025Updated 10 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,575Feb 24, 2026Updated 3 weeks ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆450Nov 1, 2025Updated 4 months ago
- Fast SHAP value computation for interpreting tree-based models☆553Jun 26, 2023Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆57Jul 14, 2025Updated 8 months ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Aug 11, 2025Updated 7 months ago
- Interpretable ML for TabPFN☆47Jul 13, 2025Updated 8 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,154Feb 6, 2026Updated last month
- moDel Agnostic Language for Exploration and eXplanation☆1,459Jan 20, 2026Updated 2 months ago
- The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …☆39Mar 4, 2026Updated 2 weeks ago
- Conformal Anomaly Detection & Change-Point Detection☆57Updated this week
- Extra blocks for scikit-learn pipelines.☆1,383Mar 12, 2026Updated last week
- Materiały z seminariów prowadzonych w MI^2 DataLabie.☆33Feb 7, 2026Updated last month
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,284Mar 30, 2025Updated 11 months ago
- ☆11Apr 23, 2021Updated 4 years ago
- Machine learning with dataframes☆1,582Updated this week
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆316Updated this week