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black-box-explanations

Here are 4 public repositories matching this topic...

interpretml / interpret-text

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

python nlp npm text-classification jupyter-notebook azure-sdk data-scientists data-analyst linear-models nlp-models visualization-dashboard explainer black-box-explanations local-explanations text-interpretability nlp-scenarios glass-box-explainers grey-box-explainers microsoft-azureml

Updated Feb 5, 2024
Python

pyslise

edahelsinki / pyslise

Robust regression algorithm that can be used for explaining black box models (Python implementation)

python machine-learning research sparse-regression research-paper explainable-ai explainable-ml interpretable-machine-learning robust-regression model-agnostic black-box-explanations local-explanations explain-classifiers slise slise-algorithm

Updated May 11, 2024
Python

slise

edahelsinki / slise

Robust regression algorithm that can be used for explaining black box models (R implementation)

machine-learning r research r-package sparse-regression research-paper explainable-ai explainable-ml interpretable-machine-learning robust-regression model-agnostic black-box-explanations local-explanations explain-classifiers slise slise-algorithm

Updated Aug 17, 2023
R

AEjonanonymous / The-Ghost-In-Yalls-Machine

Resolving the Black Box Interpretability Problem by Proving the Mathematical Necessity of J-space via Hessian Rank Deficiency in Lean 4.

ai mathematics artificial-intelligence artificial-neural-networks formal-verification interactive-theorem-proving proof-of-existence mathlib interpretable-machine-learning neural-network-optimization black-box-explanations academic-research lean4 j-space anthropic-ai hessian-analysis ai-augmented-research

Updated Jul 14, 2026
Lean

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