SynSense Spiking Neural Network simulator for deep neural networks (DNNs).
Project description
Sinabs (Sinabs Is Not A Brain Simulator) is a python library for the 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
For the stable release on the main branch:
pip install sinabs
or (thanks to @Tobias-Fischer)
conda install -c conda-forge sinabs
For the latest pre-release on the develop branch that passed the tests:
pip install sinabs --pre
The package has been tested on the following configurations
Documentation and Examples
https://sinabs.readthedocs.io/
Questions? Feedback?
Please join us on the #sinabs Discord channel!
License
Sinabs is published under AGPL v3.0. See the LICENSE file for details.
Contributing to Sinabs
Checkout the contributing page for more info.
Project details
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
Hashes for sinabs-1.0.6.dev2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b59d4623bb78684c6329d854b554cc4ef0ae93fe67ba02a4e5aae249d62ffd07 |
|
MD5 | ed52e9e3b7c1c337aec8cef8a862d722 |
|
BLAKE2b-256 | cccef0ae5c2f9b614580d2febb12267d3aa8867f8f5770626a031a1830bdf04c |