Project description

svconv

This is a implementation of spatially variant scalars for pytorch convolutional neural networks.

These details have not been verified by PyPI

This version

0.0.3

Feb 16, 2023

0.0.2

Feb 16, 2023

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Feb 16, 2023 Source

Uploaded Feb 16, 2023 Python 3

Hashes for svconv-0.0.3.tar.gz
Algorithm	Hash digest
SHA256	`631efa71e590ba532e8c3e5dbd31529df7097ee9aec4df3246f3db6df01167bb`
MD5	`2134c5c70975f501e322dc1ac83bb6c5`
BLAKE2b-256	`61ec1d1f07671d2d1515afeb2ba1c497399d04a48d28f1578c6bcaf20f378c12`

Hashes for svconv-0.0.3-py3-none-any.whl
Algorithm	Hash digest
SHA256	`5e10b3fcc96a85836183116bd116ab5f4a400b645a111e9f80cdbbcbeafdf009`
MD5	`abe46b3685aca8b28a0ba07cb487fff0`
BLAKE2b-256	`1cd9244d63da9b968f606ad297eda810335d6122c5d5d19a628264e1d8abb41a`