NNEVE is a collection of neural network based solutions to physics based problems. As for now only network for quantum oscillator approximation is fully implemented. Hopefully soon will arrive neural network for solving Navier-Stokes equation based on limited number of measurement points..
Installation#
This project is uploaded to PyPI as nneve
, therefore can be installed with
pip install (Python 3.7
or newer is required)
Quick example#
To view quantum oscillator approximation for states 1 to 7 you can load precalculated weights and acquire model object with following snippet:
To manually run learning cycle check out "How to run QONetwork learning cycle" in Quantum Oscillator section of docs.
Documentation#
Online documentation is available at argmaster.github.io/NNEVE/
Builing docs locally is possible and well automated using tox virtual
environments. To be able to build documentation you have to acquire
Python==3.8
and tox>=3.24
, then you will be able to build docs