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-1.4.4.tar.gz
(6.7 kB
view hashes)
Built Distribution
torchnorms-1.4.4-py3-none-any.whl
(18.3 kB
view hashes)
Close
Hashes for torchnorms-1.4.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5b668e145a4c1d3a0ccd9de07fa67cbbc2e0819bedd189b015324aee1bbdbdc1 |
|
MD5 | 37ba8ae5c9b74c0476d4c2667400f61d |
|
BLAKE2b-256 | 616989afa02491ae7bd63f11a3bc0074c22e3e0a199f6eaef2918c4223a4a46b |