#

soft-decision-tree

Here are 3 public repositories matching this topic...

rolare / Explainable-Deep-Learning

Methods to improve the explainability of machine learning models, while still being performant models. This repository presents an implementation of Google Brain's Team Distilling a neural network into a Soft Decision Tree by Nicholas Frosst and Geoffrey Hinton.

neural-network notebook convolutional-neural-networks explainable-ai soft-decision-tree

Updated Apr 30, 2021
Jupyter Notebook

alper111 / sdt-generative

generative adversarial soft decision trees

soft-decision-tree generative-adversarial-nets hierarchical-mixtures-of-experts

Updated Jul 4, 2022
Python

endymion64 / SoftDecisionTree

An implementation of Frosst & Hinton's "Distilling a Neural Network Into a Soft Decision Tree"

knowledge-distillation soft-decision-tree

Updated Jul 25, 2024
Python

Improve this page

Add a description, image, and links to the soft-decision-tree topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the soft-decision-tree topic, visit your repo's landing page and select "manage topics."