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The Top 22 Explainability Open Source Projects

Open source projects categorized as Explainability
Categories > Explainability
Decompx ⭐ 9
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition
most recent commit 10 months ago
Saliency Faithfulness Eval ⭐ 8
A suite of tests to assess attention faithfulness for explainability
most recent commit 3 months ago
Shapley Regression ⭐ 8
For calculating Shapley values via linear regression.
total releases 1most recent commit 3 years ago
Explainable Models With Consistent Interpretations ⭐ 8
Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'
most recent commit 2 years ago
Trusty Ai Sandbox ⭐ 8
A sandbox repository for the Trusty AI team
most recent commit 3 years ago
Visbert ⭐ 8
VisBERT: Demo web app for "How Does BERT Answer Questions?"
most recent commit 2 years ago
Model Guidance ⭐ 8
Code for the paper: Studying How to Efficiently and Effectively Guide Models with Explanations. ICCV 2023.
most recent commit 6 months ago
Explainable Qe Shared Task ⭐ 7
IST-Unbabel 2021 Submission for the Quality Estimation Shared Task
most recent commit 2 years ago
Tree_influence ⭐ 7
Influence Estimation for Gradient-Boosted Decision Trees
total releases 5most recent commit a year ago
Deepinfoflow ⭐ 7
most recent commit 5 years ago
Doxpy ⭐ 7
Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".
most recent commit 4 months ago
Aaanalysis ⭐ 7
Python framework for interpretable protein prediction
most recent commit 3 months ago
Context Probing ⭐ 7
Black-box language model explanation by context length probing
most recent commit 8 months ago
Javaanchoradapters ⭐ 6
Getting the Anchors Explainer to work in Different Settings
dependent packages 1total releases 4most recent commit 7 months ago
Timex ⭐ 6
Time series explainability via self-supervised model behavior consistency
most recent commit 6 months ago
Cf Shap ⭐ 5
Counterfactual SHAP: a framework for counterfactual feature importance
most recent commit a year ago
Functional_attribution ⭐ 5
Code of our accepted ICML 2021 paper "Towards Rigorous Interpretations: a Formalisation of Feature Attribution" (D. Afchar, R. Hennequin, V. Guigue)
most recent commit 3 years ago
Explainability_for_photonics ⭐ 5
Here, we use Deep SHAP (or SHAP) to explain the behavior of nanophotonic structures learned by a convolutional neural network (CNN). Reference: https://pubs.acs.org/doi/full/10.1021/acsphotonics
most recent commit 2 years ago
Explainable Ml Papers ⭐ 5
A list of research papers of explainable machine learning.
most recent commit 3 years ago
Xwhy ⭐ 5
Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations
most recent commit 3 months ago
Cwox ⭐ 5
A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.
most recent commit 9 months ago
Xper ⭐ 5
A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.
most recent commit 6 months ago
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