nathanwang000 / Shapley-FlowLinks
☆50Updated 2 years ago
Alternatives and similar repositories for Shapley-Flow
Users that are interested in Shapley-Flow are comparing it to the libraries listed below
Sorting:
- TimeSHAP explains Recurrent Neural Network predictions.☆178Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years 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
- A Natural Language Interface to Explainable Boosting Machines☆67Updated last year
- A Causal AI package for causal graphs.☆60Updated 3 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated last month
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 2 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆220Updated 2 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- [Experimental] Global causal discovery algorithms☆105Updated 3 weeks ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated 11 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆73Updated last year
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆31Updated 5 years ago
- For calculating global feature importance using Shapley values.☆272Updated last week
- Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"☆15Updated 2 years ago
- Active Bayesian Causal Inference (Neurips'22)☆58Updated 11 months ago
- Repository for the explanation method Calibrated Explanations (CE)☆67Updated last month
- Effector - a Python package for global and regional effect methods☆112Updated this week
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- Data Efficient Decision Making☆247Updated 3 years ago
- Editing machine learning models to reflect human knowledge and values☆127Updated last year
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- ☆57Updated last year
- Rule Extraction Methods for Interactive eXplainability☆44Updated 3 years ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆77Updated last month
- ☆79Updated last week