ADMAntwerp / NICE
☆10Updated last year
Related projects ⓘ
Alternatives and complementary repositories for NICE
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- ☆22Updated last year
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 3 months ago
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated 9 months ago
- Influence Estimation for Gradient-Boosted Decision Trees☆25Updated 5 months ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆57Updated 5 months ago
- Beta calibration☆25Updated 9 months ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆51Updated last year
- Example causal datasets with consistent formatting and ground truth☆66Updated last year
- Generalized Optimal Sparse Decision Trees☆62Updated 8 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆79Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 3 months ago
- Tabular In-Context Learning☆26Updated last month
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆66Updated 2 weeks ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆68Updated 3 years ago
- ☆60Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 3 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 3 years ago
- Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…☆24Updated 2 weeks ago
- Critical difference diagrams with Python and Tikz☆22Updated last month
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆51Updated 3 years ago
- [Experimental] Global causal discovery algorithms☆89Updated this week
- Multi-Objective Counterfactuals☆40Updated 2 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated last year
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆30Updated last month
- Rule Extraction Methods for Interactive eXplainability☆41Updated 2 years ago
- ☆12Updated 2 years ago