Metadata-Version: 2.1
Name: memnet
Version: 0.0.1
Summary: A set of useful classes and functions for dealing with neural networks implented using memristive crossbar arrays.
Home-page: https://github.com/joksas/memnet
Author: Dovydas Joksas
Author-email: dovydas.joksas@ucl.ac.uk
Project-URL: Bug Tracker, https://github.com/joksas/memnet/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: KDEpy (>=1.1.0)
Requires-Dist: numpy (>=1.23.4)
Requires-Dist: scipy (>=1.9.3)
Requires-Dist: tensorflow-probability (>=0.18.0)
Requires-Dist: tensorflow (>=2.10.0)

# memnet

memnet (short for "memristive neural network") is a set of useful classes and functions for dealing with neural networks implented using memristive crossbar arrays.
Initially ported from [this repo](https://github.com/joksas/nonideality-aware-mnn-training).
