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
cdinto your project directory- Use
sparse-checkoutto pull the library files only into your project directorygit 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
cdinto your project directorycheckoutthe library filessvn 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
1 maintainer
Metadata
1 maintainer
Release files for HiveNAS 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| HiveNAS-0.1.5.tar.gz | 30.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| HiveNAS-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.7 kB
Release files / HiveNAS-0.1.5.tar.gz
| Download URL | HiveNAS-0.1.5.tar.gz |
|---|---|
| Size | 30.4 kB |
| Tags | Source |
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No |
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Release files / HiveNAS-0.1.5-py3-none-any.whl
| Download URL | HiveNAS-0.1.5-py3-none-any.whl |
|---|---|
| Size | 42.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.7
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