OmniXAI
DiCE
| OmniXAI | DiCE | |
|---|---|---|
| 1 | 2 | |
| 812 | 1,276 | |
| 2.5% | 1.4% | |
| 4.6 | 8.2 | |
| 14 days ago | 22 days ago | |
| Jupyter Notebook | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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OmniXAI
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Salesforce AI Open-Sources ‘OmniXAI’: A Python-based Machine Learning Library That Provides One-Stop Explainable AI (XAI) Solution To analyze, Debug, And Interprets AI Models
Continue reading | Checkout the paper, article, github, dashboard
DiCE
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[D] Have researchers given up on traditional machine learning methods?
- all domains requiring high interpretability absolutely ignore deep learning at all, and put all their research into traditional ML; see e.g. counterfactual examples, important interpretability methods in finance, or rule-based learning, important in medical or law applications
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[R] The Shapley Value in Machine Learning
Counter-factual and recourse-based explanations are alternative approach to model explanations. I used to work in a large financial institution, and we were researching whether counter-factual explanation methods would lead to better reason codes for adverse action notices.
What are some alternatives?
interpret - Fit interpretable models. Explain blackbox machine learning.
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
eli5 - A library for debugging/inspecting machine learning classifiers and explaining their predictions
AIX360 - Interpretability and explainability of data and machine learning models
shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
SegGradCAM - SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
harakiri - Help applications kill themselves
DALEX - moDel Agnostic Language for Exploration and eXplanation
stranger - Chat anonymously with a randomly chosen stranger
shapley - The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.