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Projects in Awesome Lists tagged with counterfactual

A curated list of projects in awesome lists tagged with counterfactual .

https://github.com/seldonio/alibi

Algorithms for explaining machine learning models

counterfactual explanations interpretability machine-learning xai

Last synced: 14 May 2025

https://github.com/SeldonIO/alibi

Algorithms for explaining machine learning models

counterfactual explanations interpretability machine-learning xai

Last synced: 27 Mar 2025

https://github.com/Minyus/causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

causal-impact causal-inference causality counterfactual econometrics propensity-score propensity-scores uplift uplift-modeling

Last synced: 24 Mar 2025

https://github.com/counterfactual/monorepo

Home for all packages related to the Counterfactual project

counterfactual ethereum solidity state-channels

Last synced: 23 Jan 2025

https://github.com/firmai/ml-fairness-framework

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

aif360 aix360 alibi contrastive counterfactual explainable-ai explainable-ml fairness-ai fairness-indicators fairness-ml interpretable-machine-learning prototypical xai

Last synced: 06 May 2025

https://github.com/counterfactual/paper

📄 Counterfactual: Generalized State Channels Paper

blockchain counterfactual ethereum state-channels

Last synced: 18 Apr 2025

https://github.com/networks-learning/counterfactual-tpp

Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022

counterfactual explainable-ai explainable-ml gumbel-max point-process structural-causal-model temporal-point-process

Last synced: 23 Apr 2025

https://github.com/geffy/crowdai-counterfactual

2nd place solution for Criteo Ad Placement challenge

counterfactual crowdai ctr-prediction sparse-matrix tensorflow-models

Last synced: 02 Mar 2025

https://github.com/lezaf/biasexplain

A system to produce counterfactual explanations for biased recommendation results. We design, implement and evaluate efficient algorithms for computing counterfactual explanations that scale for large datasets.

bias counterfactual explanations fairness recommendation-system

Last synced: 27 Feb 2025