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ringer tuning package for large scale production

License: GNU General Public License v3.0

Python 98.82% Dockerfile 0.71% Makefile 0.22% Shell 0.24%

saphyra's Introduction

PyPI Version Python Versions

saphyra

We should include some description here.

NOTE This repository make part of the ringer tuning kit (rtk).

What is it for?

Saphyra is a package used to derive all ringer models in large scale using HPC cluster infrastruture. For LPS cluster you can use the orchestra infrastruture to launch your jobs into the slurm queue.

Installation:

Please follow these instructions below to install the saphyra package into your system.

Installing from pip:

pip3 install --upgrade saphyra

NOTE: Make sure that you are using the latest package in case you have the saphyra installed.

Installing from source:

Clone this repository:

git clone https://github.com/jodafons/saphyra

And install it!

cd saphyra && source scripts/setup.sh

Build status:

Branch Build Status
Master Build Status

Disclaimer:

For tensorflow is, to this date, supported until Python 3.7 (read here) and latest version of sklearn requires Python 3.6 or later, currently Saphyra supports Python 3.6 and 3.7 only. Any other custom setup isn't guaranteed to work.

saphyra's People

Contributors

jodafons avatar gabriel-milan avatar micaelverissimo avatar

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