Metadata-Version: 2.1
Name: sinabs
Version: 0.2.1.dev23
Summary: SynSense Spiking Neural Network simulator for deep neural networks (DNNs).
Home-page: UNKNOWN
Author: SynSense (formerly AiCTX)
Author-email: sinabs@synsense.ai
License: GNU AGPLv3
Project-URL: Source Code, https://gitlab.com/aiCTX/sinabs
Project-URL: Documentation, https://sinabs.ai
Description: ![PyPI - Package](https://img.shields.io/pypi/v/sinabs.svg) [![Documentation Status](https://img.shields.io/badge/docs-ok-green)](https://aictx.gitlab.io/sinabs) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/sinabs?logo=python) ![Black - formatter](https://img.shields.io/badge/code%20style-black-black) ![PyPI - Downloads](https://img.shields.io/pypi/dd/sinabs)
        
        
        SINABS
        ======
        
        Getting started
        ---------------
        
        **Sinabs Is Not A Brain Simulator**
        
        `sinabs` is a python library for development and implementation of Spiking Convolutional Neural Networks (SCNNs).
        The library implements several layers that are `spiking` equivalents of CNN layers.
        In addition it provides support to import CNN models implemented in torch conveniently to test their `spiking` equivalent implementation.
        This project is managed by SynSense (former aiCTX AG).
        
        **NOTE**: The conversion of CNNs to SCNNs is still a subject of research and we strive to keep the library updated to the state-of-the art in addition to providing options to compare various approaches both at a high level abstraction to low level implementation details.
        
        **NOTE**: This library is in Beta release stage and is subject to API changes.
        
        Installation
        ------------
        
        You can install `sinabs` with pip:
        
        ```
        pip install sinabs
        ```
        Checkout our quick instructional on how to create a project based on `sinabs` within a virtual environment using [pyenv+pipenv](https://sinabs.ai/howto/python_pyenv_pipenv.html)
        
        If you want to develop or have access to source code of `sinabs`, download the package from the git repository:
        
        ```
        $ cd <to/your/software/folder>
        $ git clone https://gitlab.com/aiCTX/sinabs.git>
        $ cd sinabs
        $ pip install -e . --user
        ```
        
        For developers, we recommend that you install this package as a development version so that you can update the package without reinstalling the package.
        
        
        Documentation and Examples
        --------------------------
        
        [https://sinabs.ai](https://sinabs.ai)
        
        
        If you would like to generate documentation locally, you can do that using `sphinx`.
        
        **REQUIREMENT** You will require `pandoc` installed on your system.
        
        You can generate a sphinx documentation for this package by running the the following command.
        
        ```
        $ cd /path/to/sinabs/
        $ pip install -r sphinx-requirements.txt
        $ python setup.py build_sphinx
        ```
        
        This will build and auto generate html documentation at `docs/build/html/index.html`
        You can access the generated documentation in your browser.
        ```
        $ firefox docs/build/html/index.html
        ```
        
        License
        -------
        
        `sinabs` is published under AGPL v3.0. See the LICENSE file for details.
        
        
        Contributing to `sinabs`
        ------------------------
        
        Checkout [CONTRIBUTING.md](https://sinabs.ai/contributing.html)
        
        
Keywords: spiking,SNN
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
