mmschlk / shapiqLinks
Shapley Interactions and Shapley Values for Machine Learning
โ642Updated last week
Alternatives and similar repositories for shapiq
Users that are interested in shapiq are comparing it to the libraries listed below
Sorting:
- Python package for conformal predictionโ548Updated 2 months ago
- ๐ Puncc is a python library for predictive uncertainty quantification using conformal prediction.โ358Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.โ1,496Updated this week
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Dataโ245Updated last week
- Python implementation of binary and multi-class Venn-ABERS calibrationโ191Updated 2 months ago
- ๐ข๐๐ป ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ. Skore's open-source Python library accelerates ML model development with automated evaluation reโฆโ552Updated this week
- ML models + benchmark for tabular data classification and regressionโ297Updated last month
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.โ226Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.โ437Updated last month
- Practical Guide to Applied Conformal Prediction, published by Packtโ193Updated 3 weeks ago
- The repository to showcase the best framework for tabular data - the Awesome CatBoostโ279Updated 3 months ago
- Quantile Regression Forests compatible with scikit-learn.โ250Updated 2 weeks ago
- A Living Benchmark for Machine Learning on Tabular Dataโ152Updated this week
- ๐ Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterโ115Updated 2 months ago
- Repository for CARTE: Context-Aware Representation of Table Entriesโ160Updated 3 months ago
- A scikit-learn-compatible module for comparing imputation methods.โ139Updated 3 months ago
- DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distโฆโ278Updated this week
- Effector - a Python package for global and regional effect methodsโ117Updated 4 months ago
- Repository for the explanation method Calibrated Explanations (CE)โ70Updated last week
- โ500Updated last year
- Lightweight, useful implementation of conformal prediction on real data.โ987Updated 3 weeks ago
- The best repository showing why SMOTE and resampling methods might not be the answer for imbalanced data problemsโ53Updated 3 months ago
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfoโฆโ802Updated 3 weeks ago
- A Library for Conformal Hyperparameter Tuningโ104Updated 2 weeks ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.โ267Updated 3 months ago
- A Library for Uncertainty Quantification.โ922Updated 7 months ago
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.โ616Updated last year
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregaโฆโ679Updated last year
- Multiple Imputation with LightGBM in Pythonโ398Updated last month
- A lightweight and fast auto-ml libraryโ81Updated 3 months ago