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Search results for interpretable machine learning
interpretable-machine-learning
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113 search results found
Intro To Transparent Ml Course
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5
An Introduction to Transparent Machine Learning
Pyslise
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5
Robust regression algorithm that can be used for explaining black box models (Python implementation)
Slise
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5
Robust regression algorithm that can be used for explaining black box models (R implementation)
Functional_attribution
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5
Code of our accepted ICML 2021 paper "Towards Rigorous Interpretations: a Formalisation of Feature Attribution" (D. Afchar, R. Hennequin, V. Guigue)
Networkcausaltree
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5
Package for heterogeneous treatment and spillover effects under network interference
Epu Cnn
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5
Official Implementation of "E pluribus unum interpretable convolutional neural networks"
Gpg
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5
Re-implementation of GP-GOMEA that attempts to be simpler to understand and use than the original.
Interpretable_nn_attribution
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5
Source code from our RecSys 2020 paper: "Making neural network interpretable with attribution: application to implicit signals prediction" (D. Afchar, R. Hennequin)
Predictive Modeling In R
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5
Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.
Xai Papers
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5
Xaisuite
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5
XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.
Shapflex
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5
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Distillml
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5
An R package providing functions for interpreting and distilling machine learning models
101-113 of 113 search results
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