SelfExplainML / GamiNetLinks
GAMI-Net: Generalized Additive Models with Structured Interactions
☆31Updated 3 years ago
Alternatives and similar repositories for GamiNet
Users that are interested in GamiNet are comparing it to the libraries listed below
Sorting:
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Distributional Gradient Boosting Machines☆27Updated 2 years ago
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Generalized additive model with pairwise interactions☆66Updated last year
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆59Updated last year
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated 4 months ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆19Updated this week
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Forecasting with Hyper-Trees☆18Updated 9 months ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 3 years ago
- Machine Learning models using a Bayesian approach and often PyMC3☆24Updated 4 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- A Causal AI package for causal graphs.☆60Updated 3 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆73Updated last year
- R package to compute distribution-free prediction bands using density estimators☆9Updated 3 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆67Updated last month
- Wrapper around MLForecast for more plug and play forecasting☆10Updated last year
- Statistical Inference and Sure Independence Screening via Ball Statistics☆32Updated 3 weeks ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆26Updated 5 years ago
- ☆12Updated 4 years ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆16Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 6 months ago