SelfExplainML / GamiNet-PyTorch
☆12Updated last year
Alternatives and similar repositories for GamiNet-PyTorch:
Users that are interested in GamiNet-PyTorch are comparing it to the libraries listed below
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆45Updated 2 years ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆69Updated 4 years ago
- For calculating global feature importance using Shapley values.☆267Updated this week
- ☆11Updated 7 months ago
- Generalized additive model with pairwise interactions☆66Updated last year
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 8 months ago
- Makes algorithms/code in Tetrad available in Python via JPype☆76Updated this week
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆59Updated 4 years ago
- Counterfactual Explanations for Multivariate Time Series Data☆31Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.☆172Updated last year
- [Experimental] Global causal discovery algorithms☆99Updated last month
- Nonlinear Causal Discovery with Confounders☆20Updated 2 years ago
- Neural Additive Models (Google Research)☆28Updated 11 months ago
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆30Updated 4 years ago
- ☆60Updated 4 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 6 years ago
- Conformalized Quantile Regression☆270Updated 3 years ago
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆85Updated last year
- Extended Complexity Library in R☆57Updated 4 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆85Updated 2 years ago
- Causal discovery for time series☆96Updated 3 years ago
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…☆18Updated 3 years ago
- A framework for prototyping and benchmarking imputation methods☆181Updated 2 years ago
- A power-full Shapley feature selection method.☆205Updated 11 months ago
- Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification☆95Updated last year
- An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.☆73Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆74Updated 4 years ago
- Feature selection in neural networks☆235Updated 7 months ago
- Generalized Optimal Sparse Decision Trees☆54Updated last month
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆54Updated 3 months ago