Differentiable Fuzzy Logic operators for
Project description
torch-norms
t-norms in PyTorch
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
torchnorms-1.0.1.tar.gz
(5.2 kB
view hashes)
Built Distribution
torchnorms-1.0.1-py3-none-any.whl
(13.5 kB
view hashes)
Close
Hashes for torchnorms-1.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4d094372b1c352d94a5b300d38f187834fdfb1d695f30e018c4d2f9e6cfff03d |
|
MD5 | 176811de52f5b882fd785a1d3e7d529c |
|
BLAKE2b-256 | 796820ef3bdad199ef93fb46d6970dc57e1655ae256693af88e6ff06d53e9155 |