Popular GitHub Repositories for Counterfactual

Algorithms for explaining machine learning models

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models

PyTorch implementation for our proposed CFIE in EMNLP 2021 paper "Uncovering Main Causalities for Long-tailed Information Extraction".

[ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR'.

[CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.

Official Implementation for the paper titled: "Counterfactual Disease Removal and Generation in Chest X-Rays Using Diffusion Models"

Official repository of the paper Face Presentation Attack Detection by Eacavating Causal Clues and Adapting Embedding Statistics

counterfactual explanations for XGBoost and tree ensemble models - counterfactual reasoning - model interpretability

Implementation of the AAAI-2021 paper Sketch and Customize: A Counterfacutal Story Generator .

This project aims to implement the Multi-task-Stacked-Bi-LSTMs applied in detecting the span of the counterfactual statement using ELMo Word Embedding and POS tags.