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:
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- R package to compute distribution-free prediction bands using density estimators☆9Updated 3 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Generalized additive model with pairwise interactions☆66Updated last year
- Distributional Gradient Boosting Machines☆27Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Statistical Inference and Sure Independence Screening via Ball Statistics☆32Updated 6 months ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 3 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆30Updated last year
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆16Updated 2 weeks ago
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆16Updated 5 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Generalized Optimal Sparse Decision Trees☆63Updated last year
- Conformal prediction in R☆31Updated 5 years ago
- Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data☆9Updated 2 months ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 4 years ago
- ☆13Updated 2 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- ☆12Updated 4 years ago
- Random Forests for Conditional Density Estimation☆42Updated 3 years ago
- Forecasting with Hyper-Trees☆17Updated 7 months ago