Skip to main content

SynSense Spiking Neural Network simulator for deep neural networks (DNNs).

Project description

PyPI - Package Documentation Status PyPI - Downloads Discord sinabs

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

sinabs-0.3.5.tar.gz (179.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sinabs-0.3.5-py3-none-any.whl (49.2 kB view details)

Uploaded Python 3

File details

Details for the file sinabs-0.3.5.tar.gz.

File metadata

  • Download URL: sinabs-0.3.5.tar.gz
  • Upload date:
  • Size: 179.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for sinabs-0.3.5.tar.gz
Algorithm Hash digest
SHA256 5524ea14b491f6c02916082f8dcbed64ffb5a32bd5f62181034cf1fb28db3bf1
MD5 403a5317b2b7fb952ddfd85c4b5e397f
BLAKE2b-256 fc604d6215838f6329462ee8a4635304cf256a36acce4b6bd9697bda90076822

See more details on using hashes here.

File details

Details for the file sinabs-0.3.5-py3-none-any.whl.

File metadata

  • Download URL: sinabs-0.3.5-py3-none-any.whl
  • Upload date:
  • Size: 49.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for sinabs-0.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 9c7e9cbaf2c0f28fd2fb9c09045c3466937d2056b63bcc8fb9fd65f23de9948b
MD5 8d679e94655cea32bd2bac28698be42e
BLAKE2b-256 bbc35e6a27d3e35aaf68f09b3ec06f30d930bad9c54fea79c7883f741efa364f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page