No project description provided
Project description
HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks
HorNets is a Python package implementing the HorNets architecture of the HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks paper.
Installation
Follow the instructions below to install HorNets using your preferred method.
Using PyPI stable version
You can install HorNets directly from PyPI using pip. This is the simplest method if you just want to use the package.
pip install hornets
Using PyPI latest version
pip install git+git@github.com:bkolosk1/hornets.git
Local Development Installation
- Install Poetry:
pip install poetry - Clone the repo:
git clone git@github.com:bkolosk1/hornets.git && cd hornets - Run:
poetry install - Test the installation with:
poetry run python examples/examples.py
Usage
You can run examples/example.py
Citation
Cite this work as:
XXXX
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file hornets-0.1.1.tar.gz.
File metadata
- Download URL: hornets-0.1.1.tar.gz
- Upload date:
- Size: 6.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.0.1 CPython/3.11.5 Linux/6.8.0-51-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b4ab41f5353f8517dba60511a9db5b5d1f9f6dc856048049cb4073e96efbe207
|
|
| MD5 |
525de8531d3f7f321b798c978718ed08
|
|
| BLAKE2b-256 |
28ab376f07a6a9e80e57117587066d88a60870d0d87bcef69ead1e2cb4dafd49
|
File details
Details for the file hornets-0.1.1-py3-none-any.whl.
File metadata
- Download URL: hornets-0.1.1-py3-none-any.whl
- Upload date:
- Size: 7.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.0.1 CPython/3.11.5 Linux/6.8.0-51-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
05355a5aabfb1aa0ca249b5a2b56fbc4ef6a429213d7ef3537c26bda43a0eb30
|
|
| MD5 |
a9b470bfcb949ba1e989c5ac6a8718b2
|
|
| BLAKE2b-256 |
8cfb2a4ffb55da93ef3d34d58f06e7c0129d1faeafb4584d276232247cdcba5b
|
