Shapley Interactions and Shapley Values for Machine Learning
☆749Jun 22, 2026Updated last week
Alternatives and similar repositories for shapiq
Users that are interested in shapiq are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Scoring Lists – a probabilistic & incremental extension to Scoring Systems☆18Jan 20, 2026Updated 5 months ago
- Advanced choice modeling with multidimensional utility representations.☆13Jun 21, 2024Updated 2 years ago
- Specificy, execute and monitor performances of active learning pipelines.☆24Oct 1, 2024Updated last year
- Feedback Forensics: An open-source toolkit to measure AI personality☆25May 7, 2026Updated last month
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆56Dec 26, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Pairwise Difference Learning (PDL) is a meta-learning framework that leverages pairwise differences to transform multiclass problems into…☆23Aug 27, 2025Updated 10 months ago
- Effector - a Python package for global and regional effect methods☆120May 6, 2026Updated last month
- Python package for conformal prediction☆576Jun 12, 2026Updated 2 weeks ago
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…☆25Feb 20, 2026Updated 4 months ago
- Uncertainty Representation and Quantification for Machine Learning 🤔☆47Updated this week
- Python implementation of binary and multi-class Venn-ABERS calibration☆203May 8, 2026Updated last month
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,558Jun 24, 2026Updated last week
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,251Jun 20, 2026Updated last week
- A Library for Conformal Hyperparameter Tuning☆104Nov 24, 2025Updated 7 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆27Feb 6, 2025Updated last year
- Calibrated Random Forests☆40May 10, 2020Updated 6 years ago
- ☆17Jun 3, 2026Updated 3 weeks ago
- ⚡ TabPFN: Foundation Model for Tabular Data ⚡☆7,435Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆395Jun 23, 2026Updated last week
- ☆15Nov 3, 2025Updated 7 months ago
- For calculating global feature importance using Shapley values.☆292Jun 22, 2026Updated last week
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆283May 13, 2026Updated last month
- Bivariate Shapley is a Shapley-based method of identifying directional feature interactions and feature redundancy☆20May 19, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,593May 26, 2026Updated last month
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆472Nov 1, 2025Updated 8 months ago
- Fast SHAP value computation for interpreting tree-based models☆556Jun 26, 2023Updated 3 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆60May 11, 2026Updated last month
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,225Updated this week
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆46May 18, 2026Updated last month
- Interpretable ML for TabPFN☆53Jul 13, 2025Updated 11 months ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆20Sep 25, 2023Updated 2 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,476Jan 20, 2026Updated 5 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …☆39Mar 18, 2026Updated 3 months ago
- Conformal Anomaly Detection & Change-Point Detection☆56Updated this week
- Machine learning with dataframes☆1,625Jun 24, 2026Updated last week
- Extra blocks for scikit-learn pipelines.☆1,399Jun 22, 2026Updated last week
- Materiały z seminariów prowadzonych w MI^2 DataLabie.☆34Jun 24, 2026Updated last week
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,286Mar 30, 2025Updated last year
- ☆11Apr 23, 2021Updated 5 years ago