interpretable-machine-learning topic

List interpretable-machine-learning repositories

ProtoTree

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ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

compboost

24
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3
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C++ implementation and R API for componentwise boosting

survex

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Explainable Machine Learning in Survival Analysis

mllp

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The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

pyTsetlinMachineParallel

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Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity...

R2A

27
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5
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"Deriving Machine Attention from Human Rationales" EMNLP 2018

TalkToModel

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TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

pytorch_explain

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PyTorch Explain: Interpretable Deep Learning in Python.

Dynamic-SHAP-Plots

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Enabling interactive plotting of the visualizations from the SHAP project.