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Topic: "counterfactuals"

carla-recourse/CARLA

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Language: Python - Size: 1.89 MB - Last synced at: 25 days ago - Pushed at: almost 2 years ago - Stars: 291 - Forks: 63

biomedia-mira/deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

Language: Jupyter Notebook - Size: 102 MB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 271 - Forks: 53

Networks-Learning/counterfactual-llms

Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.

Language: Jupyter Notebook - Size: 4.36 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 25 - Forks: 3

jpmorganchase/cf-shap

Counterfactual SHAP: a framework for counterfactual feature importance

Language: HTML - Size: 823 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 20 - Forks: 9

DataForScience/PyData2020

Why And What If: Causal Inference for Everyone

Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 4

Networks-Learning/counterfactual-explanations-mdp

Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021

Language: Jupyter Notebook - Size: 120 KB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 3

jpmorganchase/cf-shap-facct22

Counterfactual Shapley Additive Explanation: Experiments

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 7

piotromashov/baycon

Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation

Language: Python - Size: 4.37 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 8 - Forks: 0

santikka/cfid

cfid: R package for identifying counterfactuals.

Language: R - Size: 218 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

marcovirgolin/robust-counterfactuals

Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"

Language: Jupyter Notebook - Size: 221 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

benbrastmckie/ModelChecker

A hyperintensional theorem prover for rapidly prototyping modular semantic theories

Language: Python - Size: 12.5 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 6 - Forks: 2

Blood-Glucose-Control/causal_modeling

Causal modelling with FitBit and Gluroo data for blood-glucose time-series evolution

Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 6 - Forks: 3

Networks-Learning/counterfactual-continuous-mdp

Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.

Language: Python - Size: 85.9 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 1

alexkoulakos/explain-then-predict

Source code for the BlackBox 2024 @ EMNLP paper "Enhancing adversarial robustness in Natural Language Inference using explanations"

Language: Python - Size: 19.4 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 0

JHoelli/Semantic-Meaningfulness

Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility

Language: Python - Size: 18.4 MB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

Saptarshi-Saha-1996/Noise-Abduction-for-Counterfactuals

Repository for On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook

Language: Jupyter Notebook - Size: 342 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 2

cdiego89phd/counterfactuals-generation

Counterfactual text reviews generator

Language: Jupyter Notebook - Size: 6.84 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

marcovirgolin/CoGS

A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.

Language: Python - Size: 402 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

nphdang/CCRAL

Classifier with Counterfactual Samples and Active Learning

Language: Python - Size: 928 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

wmonteiro-ai/xmoai

xMOAI 🗿

Language: Python - Size: 67.4 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

k-randl/self-explaining_llms

Implementation of the paper "Evaluating the Reliability of Self-Explanations in Large Language Models"

Language: Jupyter Notebook - Size: 9.54 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

mims-harvard/CLEF

Controllable Sequence Editing for Counterfactual Generation

Language: Python - Size: 630 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Networks-Learning/coupled-llm-evaluation

Code for "Evaluation of Large Language Models via Coupled Token Generation", Arxiv 2025.

Language: Jupyter Notebook - Size: 5.26 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Networks-Learning/controlling-counterfactual-harm-prediction-sets

Code for "Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets", NeurIPS 2024.

Language: Python - Size: 18.2 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

kaivalyar/RealWorldRecourse

Code associated with "Recourse For Humans", presented at the Participatory Approaches to Machine Learning workshop at ICML 2020.

Language: Jupyter Notebook - Size: 547 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

j1nma/counterfactuals

🔮 Master Thesis for Double Degree for Master in Software Engineering at FH Technikum Wien: Analysis of Counterfactuals with Statistical Inference System

Language: Python - Size: 19.4 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

raam93/DiCE_evaluations

Language: Jupyter Notebook - Size: 23.6 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

Harsha2k3/predictive_maintenance_ML_Project

This project utilizes advanced data analysis and machine learning techniques to predict equipment failures before they occur. The goal is to detect anomalies and possible defects in equipment and processes to enable preemptive maintenance, thereby reducing downtime and costs.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

cpdl1997/ifc1_algorithm

This is the repository code for IFC1 - A novel algorithm to generate algorithmic recourse keeping in mind user preference

Language: Python - Size: 6.45 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PeteCastle/air-quality-patterns

This project explores the relationship between urban amenities and air quality across major cities in the Philippines using machine learning and geospatial analysis.

Language: Jupyter Notebook - Size: 23.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

henningheyen/ResponsibleAI-Project

This project aims to touch on the most important topics in the field of Responsible AI including bias, fairness, interpretability, error analysis and counterfactuals. Why apply those concepts to the adult dataset

Language: Jupyter Notebook - Size: 9.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Related Topics
explainable-ai 12 machine-learning 9 explainable-ml 8 counterfactual-explanations 7 causal-inference 6 causality 5 explainable-machine-learning 4 algorithmic-recourse 3 explainable-artificial-intelligence 3 shap 3 xgboost 2 tree-based 2 generative-ai 2 shapley-values 2 shapley 2 lime 2 feature-importance 2 facct2022 2 explanations 2 pytorch 2 llm 2 interpretable-machine-learning 2 interpretable-ai 2 genetic-algorithm 2 counterfactual 2 python 2 nlp 2 explainability 2 normalizing-flows 2 deep-learning 2 recourse 2 hyperintensionality 1 semantics 1 z3-smt-solver 1 llama3 1 prediction-sets 1 human-ai-teaming 1 harm 1 decision-support-system 1 decision-support 1 conformal-prediction 1 self-explanations 1 large-language-models 1 identifiability 1 directed-acyclic-graph 1 causality-algorithms 1 causal-models 1 sequence-models 1 bias 1 markov-decision-processes 1 decision-making-under-uncertainty 1 decision-making 1 xai-evaluation 1 sequential-decision-making-problems 1 mdp 1 markov-deci 1 cognitive-therapy 1 tensorflow2 1 tensorflow 1 benchmarking 1 benchmark 1 artificial-intelligence 1 fitness 1 diabetes-management 1 blood-glucose 1 token-generation 1 sampling-methods 1 mistral-small 1 mistral 1 llama3-8b 1 feature-attribution 1 feature-attention 1 pyro 1 mxnet 1 stratified-k-fold 1 smote-oversampler 1 python3 1 industry4-0 1 flask 1 data-science 1 data-analysis 1 catboost-classifier 1 robustness 1 perturbations 1 fairness-ml 1 variational-autoencoders 1 xai 1 icml-2020 1 bradley-terry-model 1 patients 1 ehr-data 1 conditional-generation 1 cellular-reprogramming 1 llm-evaluation 1 llama 1 natural-language-inference 1 blackboxnlp 1 adversarial-attacks 1 geospatial-analysis 1 mediation 1