Algorithms for explaining machine learning models
-
Updated
Jun 13, 2025 - Python
#
counterfactual
Here are 54 public repositories matching this topic...
Must-read papers and resources related to causal inference and machine (deep) learning
machine-learning deep-learning representation-learning causal-inference treatment-effects causal-models counterfactual randomized-controlled-trials paper-list heterogeneous-treatment-effects causal-discovery counterfactual-learning estimating-treatment-effects causal-learning
-
Updated
Nov 23, 2022
CausalLift: Python package for causality-based Uplift Modeling in real-world business
econometrics causality propensity-scores causal-inference uplift-modeling counterfactual causal-impact propensity-score uplift
-
Updated
May 13, 2023 - Python
💡 Adversarial attacks on explanations and how to defend them
security model evaluation deep adversarial defense attacks interpretability robustness adversarial-machine-learning adversarial-examples counterfactual adversarial-attacks explainable-ai xai interpretable interpretable-machine-learning iml explainability responsible-ai
-
Updated
Nov 30, 2024
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
python benchmarking benchmark machine-learning tensorflow pytorch artificial-intelligence counterfactual explainable-ai explainable-ml explainability tensorflow2 counterfactual-explanations counterfactuals recourse
-
Updated
Oct 2, 2023 - Python
Home for all packages related to the Counterfactual project
-
Updated
Dec 12, 2019 - TypeScript
A Python package for causal inference using Synthetic Controls
python package econometrics causality policy-evaluation causality-analysis causal-inference synthetic-control causal-models counterfactual program-evaluation
-
Updated
Jan 25, 2024 - Python
[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
-
Updated
Dec 15, 2021 - Python
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
-
Updated
Aug 28, 2023 - Python
Counterfactual Samples Synthesizing for Robust VQA
-
Updated
Nov 24, 2022 - Python
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
contrastive counterfactual explainable-ai explainable-ml xai interpretable-machine-learning fairness-ai aif360 fairness-ml alibi prototypical aix360 fairness-indicators
-
Updated
Oct 20, 2021 - Jupyter Notebook
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
python machine-learning computer-vision neural-network pytorch uncertainty medical-imaging generative-model causality counterfactual
-
Updated
Mar 24, 2025 - Python
📄 Counterfactual: Generalized State Channels Paper
-
Updated
Aug 7, 2018 - TeX
MixEth: efficient, trustless coin mixing service for Ethereum
ethereum blockchain cryptocurrency state-channels privacy-enhancing-technologies privacy-preserving counterfactual state-channel coinshuffle
-
Updated
Dec 9, 2022 - TeX
Materials Collection for Causal Inference
-
Updated
Apr 14, 2023 - Yacc
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
machine-learning research deep-learning paper uncertainty generative-model neural-networks publication transparency interpretability counterfactual latent-space counterfactual-explanations aleatoric-uncertainty epistemic-uncertainty
-
Updated
Apr 23, 2024 - Python
PyTorch implementation for our proposed CFIE in EMNLP 2021 paper "Uncovering Main Causalities for Long-tailed Information Extraction".
machine-learning natural-language-processing pytorch information-extraction named-entity-recognition event-detection relation-extraction counterfactual
-
Updated
Jan 5, 2022 - Python
Counterfactual Reasoning VQA Dataset
-
Updated
Nov 23, 2023 - Python
[ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR'.
health ehr causal-inference factual ehr-phenotyping counterfactual graph-neural-networks hypergraph-learning ml4h
-
Updated
Feb 6, 2024 - Python
Code for the paper "Robust representations for image classification via counterfactual contrastive learning" (Medical Image Analysis) and "Counterfactual contrastive learning: robust representations via causal image synthesis" (MICCAI Data Engineering Workshop)
medical-imaging classification robustness counterfactual simclr contrastive-learning dinov2 counterfactual-contrastive-learning
-
Updated
Jun 16, 2025 - Python
Improve this page
Add a description, image, and links to the counterfactual topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the counterfactual topic, visit your repo's landing page and select "manage topics."