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interpretable-models

Here are 6 public repositories matching this topic...

interpretml / interpret-community

The Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

python machine-learning deep-learning pytorch explainer interpretable-models mimic-explainer tabular-explainer explanationdashboard

Updated Jan 6, 2022
Python

rehmanzafar / xai-iml-sota

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

machine-learning human-in-the-loop interpretability explainable-artificial-intelligence researchers interactive-machine-learning deep-learning-visualization human-in-the-loop-machine-learning explainable-ml xai interpretable interpretable-machine-learning iml model-interpretability explainable interpretable-models explainable-models interpretable-learning explaining-ai explanation-methods

Updated Dec 15, 2021
R

i6092467 / GVAR

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

machine-learning causality time-series-analysis autoregressive-neural-networks interpretable-models granger-causality-analysis

Updated Oct 23, 2021
Python

BirkhoffG / Explainable-ML-Papers

A list of research papers of explainable machine learning.

machine-learning awesome research paper academic survey human-in-the-loop interpretability human-in-the-loop-machine-learning explanations interpretable-ml explainable-ml xai explainability counterfactual-explanations interpretable-models recourse trustworthy-machine-learning human-ai-interaction

Updated Jun 25, 2021

sandareka / CCNN

Comprehensible Convolutional Neural Networks via Guided Concept Learning

computer-vision deep-learning neural-network cnn convolutional-neural-networks interpretable-deep-learning explainable-ai interpretable-classifcation explanability interpretable-models

Updated Dec 20, 2021
Python

maybemkl / wmdecompose

A Python implementation of Word Mover's Distance that decomposes document level WMD into word level WMD for interpretable sociocultural NLP.

natural-language-processing word2vec digital-humanities emnlp computational-social-science interpretable-models word-movers-distance

Updated Oct 14, 2021
Jupyter Notebook

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