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

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-0.2.2.dev103.tar.gz (175.7 kB view details)

Uploaded Source

Built Distribution

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

sinabs-0.2.2.dev103-py3-none-any.whl (47.8 kB view details)

Uploaded Python 3

File details

Details for the file sinabs-0.2.2.dev103.tar.gz.

File metadata

  • Download URL: sinabs-0.2.2.dev103.tar.gz
  • Upload date:
  • Size: 175.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.11

File hashes

Hashes for sinabs-0.2.2.dev103.tar.gz
Algorithm Hash digest
SHA256 1cbb7fef21e5254cca43550ce51a7d71282802e2e649790d66aaa0405b2445ff
MD5 41e2b030b947a538dca76eb9a07fed43
BLAKE2b-256 753168402b9329475cceb8689cf79aa2a657fd25c962ec2d7534ed9421362eb5

See more details on using hashes here.

File details

Details for the file sinabs-0.2.2.dev103-py3-none-any.whl.

File metadata

  • Download URL: sinabs-0.2.2.dev103-py3-none-any.whl
  • Upload date:
  • Size: 47.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.11

File hashes

Hashes for sinabs-0.2.2.dev103-py3-none-any.whl
Algorithm Hash digest
SHA256 af7d11bce00aa044d3f377a8d582ce877aa15d16d0299178255d4ddb53662b86
MD5 1ee784a9d492398fe7fc715fc23d7f80
BLAKE2b-256 67209625e519da9822559c4e1dbc03fdde27a8c1f77397df610492196c708ae3

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