14 results found Sort:

252
2.4k
other
56
Algorithms for explaining machine learning models
Created 2019-02-26
668 commits to master branch, last one 15 days ago
42
342
other
11
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Created 2019-04-03
274 commits to master branch, last one about a year ago
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Created 2020-12-09
121 commits to main branch, last one about a year ago
A Python package for causal inference using Synthetic Controls
Created 2020-06-27
107 commits to master branch, last one 3 years ago
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118
apache-2.0
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[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
Created 2021-03-02
9 commits to master branch, last one 3 years ago
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
Created 2022-01-02
265 commits to main branch, last one about a year ago
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76
unknown
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Counterfactual Samples Synthesizing for Robust VQA
Created 2020-02-25
44 commits to master branch, last one 2 years ago
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
Created 2020-03-11
63 commits to master branch, last one 3 years ago
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
Created 2023-05-30
22 commits to main branch, last one 6 months ago
MixEth: efficient, trustless coin mixing service for Ethereum
Created 2018-10-14
104 commits to master branch, last one 5 years ago
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
Created 2021-03-16
6 commits to master branch, last one about a year ago
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24
unknown
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Counterfactual Reasoning VQA Dataset
Created 2023-10-08
24 commits to master branch, last one about a year ago