jpmorganchase / cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance
☆16Updated last year
Related projects ⓘ
Alternatives and complementary repositories for cf-shap
- Project on Causal Machine learning CS 7290☆16Updated 4 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated last month
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- Implementations of growing and pruning in neural networks☆21Updated last year
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- Hyperparameter tuning via uncertainty modeling☆46Updated 6 months ago
- This Python package implements algorithms for multiviews (multimodals) learning☆14Updated last month
- Official code repository to the corresponding paper.☆28Updated last year
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated last year
- Dynamic causal Bayesian optimisation☆34Updated last year
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated last year
- Testing Language Models for Memorization of Tabular Datasets.☆30Updated last month
- ☆14Updated 6 months ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated last year
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆17Updated 7 months ago
- Official repository for the ICML 2022 DFUQ paper: conformal prediction sets for time-series☆10Updated 2 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆28Updated 2 years ago
- JAX implementation of Graph Attention Networks☆13Updated 2 years ago
- A Causal AI package for causal graphs.☆54Updated last week
- Code related to different aspects of conformal learning☆15Updated last year
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆16Updated 2 months ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- Web app using Pyodide to demo different types of Scikit-learn classifiers☆12Updated 2 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆27Updated 8 months ago
- Structured Neural Networks☆13Updated 6 months ago
- Tabular In-Context Learning☆26Updated last month
- Uses several statistical tests / algorithms on marginal / conditional distributions☆8Updated last year
- Code for blog posts.☆17Updated last year
- Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling☆26Updated last year