CNN2SNN toolkit

The Brainchip CNN2SNN toolkit provides a means to convert Convolutional Neural Networks (CNN) that were trained using Deep Learning methods to a low-latency and low-power Spiking Neural Network (SNN) for use with the Akida Runtime.

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Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for brainchip from gravatar.com brainchip

Credits

Author: Johan Mejia

License

Apache 2.0

Requires

Python >=3.10

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for brainchip from gravatar.com brainchip

Credits

Author: Johan Mejia

License

Apache 2.0

Requires

Python >=3.10

Report project as malware

Release files for cnn2snn 2.19.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for cnn2snn 2.19.3
File Size Uploaded
cnn2snn-2.19.3.tar.gz 83.7 kB Details

Release files / cnn2snn-2.19.3.tar.gz

Download URL cnn2snn-2.19.3.tar.gz
Size 83.7 kB
Tags Source
SHA-256 checksum
How to use checksums 		0ffad66941e5e02f8db39041fc3e9429b9af5a8427257cdef3232cf71ce077e0
BLAKE2b-256 checksum
How to use checksums 		98c1ecc60841c9d253dcd5f75ebb32deaa3be5481ce832a33a3ea7c274d4b32b
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What is trusted publishing? 		No
Uploaded via twine/5.1.0 CPython/3.11.9

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2.19.3 This release

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2.19.2

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2.19.1

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2.18.2

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