This release is a pre-release and may not be stable for production use.
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).
The sinabs-dynapcnn was incorporated to this project, and it enables porting sinabs models to chips and dev-kits with DYNAP-CNN technology.
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!
- If you would like to report bugs or push any changes, you can do this on our github repository.
License
Sinabs is published under AGPL v3.0. See the LICENSE file for details.
Contributing to Sinabs
Checkout the contributing page for more info.
Citation
In case you find this software library useful for your work please consider citing it as follows:
@software{sinabs,
author = {Sheik, Sadique and Lenz, Gregor and Bauer, Felix and Kuepelioglu, Nogay },
doi = {10.5281/zenodo.8385545},
license = {AGPL-3.0},
title = {{SINABS: A simple Pytorch based SNN library specialised for Speck}},
url = {https://github.com/synsense/sinabs}
}
3 maintainers
Metadata
3 maintainers
Release files for sinabs 1.2.11.dev105
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sinabs-1.2.11.dev105.tar.gz | 4.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sinabs-1.2.11.dev105-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.6 MB
Release files / sinabs-1.2.11.dev105.tar.gz
| Download URL | sinabs-1.2.11.dev105.tar.gz |
|---|---|
| Size | 4.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f6c537f625307a8cd9a3afaaeed55d39ca04fd588f86f56aa4c6185f46bb9fb5
|
|
BLAKE2b-256 checksum How to use checksums |
c054783e72b0e6ea30315cde135036f72b07a31abea1bed4dc46485c4f9b3536
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.8
|
Release files / sinabs-1.2.11.dev105-py3-none-any.whl
| Download URL | sinabs-1.2.11.dev105-py3-none-any.whl |
|---|---|
| Size | 107.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6c0c15b90b855d0efe526048bf48fe9dfa5a8ab6c4cb4a7fd28f156e5b99e318
|
|
BLAKE2b-256 checksum How to use checksums |
0cd1630d0a833c3e5f9943da458e271b613b69ea618e69f44aab7df9bd05c145
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.8
|
