Algorithms for explaining machine learning models
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Dec 16, 2024 - Python
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counterfactual
Here are 48 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
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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
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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
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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
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Oct 2, 2023 - Python
Home for all packages related to the Counterfactual project
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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
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Jan 25, 2024 - Python
[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
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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.
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Aug 28, 2023 - Python
Counterfactual Samples Synthesizing for Robust VQA
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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
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Oct 20, 2021 - Jupyter Notebook
📄 Counterfactual: Generalized State Channels Paper
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Aug 7, 2018 - TeX
(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
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Jun 13, 2024 - Python
MixEth: efficient, trustless coin mixing service for Ethereum
ethereum blockchain cryptocurrency state-channels privacy-enhancing-technologies privacy-preserving counterfactual state-channel coinshuffle
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Dec 9, 2022 - TeX
Materials Collection for Causal Inference
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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
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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
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Jan 5, 2022 - 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
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Feb 6, 2024 - Python
Counterfactual Reasoning VQA Dataset
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Nov 23, 2023 - Python
Summaries and notes on CounterFactual Machine Learning papers
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Dec 13, 2018
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