Description:
HiveNAS 0.1.5
A feature-rich, Neural Architecture Search framework based on Artificial Bee Colony optimization
Getting Started
HiveNAS (preprint) is a modular NAS framework that can find and optimize a neural architecture with state-of-the-art performance.
Installation
PyPi (recommended)
The Python package is hosted on the Python Package Index (PyPI).
The latest published version of HiveNAS can be installed using
pip install HiveNAS
Manual Installation
Simply clone the entire repo and extract the files in the HiveNAS folder, then import them into your project folder.
Or use one of the shorthand methods below
GIT
cd into your project directory
Use sparse-checkout to pull the library files only into your project directory
git init HiveNAS
cd HiveNAs
git remote add -f origin https://github.com/ThunderStruct/HiveNAS.git
git config core.sparseCheckout true
echo "HiveNAS/*" >> .git/info/sparse-checkout
git pull --depth=1 origin master
Import the newly pulled files into your project folder
SVN
cd into your project directory
checkout the library files
svn checkout https://github.com/ThunderStruct/HiveNAS/trunk/HiveNAS
Import the newly checked out files into your project folder
Documentation
Detailed examples and the full API docs are hosted on Read the Docs.
License
This project is licensed under the MIT License - see the LICENSE file for details
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
