LENs: a Python library for Logic Explained Networks

05/25/2021
by   Pietro Barbiero, et al.
0

LENs is a Python module integrating a variety of state-of-the-art approaches to provide logic explanations from neural networks. This package focuses on bringing these methods to non-specialists. It has minimal dependencies and it is distributed under the Apache 2.0 licence allowing both academic and commercial use. Source code and documentation can be downloaded from the github repository: https://github.com/pietrobarbiero/logic_explainer_networks.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 3

03/16/2022

Deepchecks: A Library for Testing and Validating Machine Learning Models and Data

This paper presents Deepchecks, a Python library for comprehensively val...
04/07/2021

DoubleML – An Object-Oriented Implementation of Double Machine Learning in Python

DoubleML is an open-source Python library implementing the double machin...
09/18/2018

Random problems with R

R (Version 3.5.1 patched) has an issue with its random sampling function...
07/10/2017

tick: a Python library for statistical learning, with a particular emphasis on time-dependent modeling

tick is a statistical learning library for Python 3, with a particular e...
06/19/2019

PLANE: An Extensible Open Source Framework for modeling the Internet of Drones

Python Library for simulating unManNed vehiclEs(PLANE) is an open source...
02/15/2022

Sensitivity of a Chaotic Logic Gate

Chaotic logic gates or `chaogates' are a promising mixed-signal approach...
08/11/2021

Logic Explained Networks

The large and still increasing popularity of deep learning clashes with ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.