SynSense Spiking Neural Network simulator for deep neural networks (DNNs).
Project description
Getting started
sinabs (Sinabs Is Not A Brain Simulator) 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).
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
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 git@github.com:synsense/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
If you would like to generate documentation locally, you can do that using sphinx.
You can generate a sphinx documentation for this package by running the following command.
$ cd /path/to/sinabs/docs
$ pip install -r requirements.txt
$ make html
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
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