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-1.4.2.tar.gz
(6.7 kB
view hashes)
Built Distribution
torchnorms-1.4.2-py3-none-any.whl
(17.4 kB
view hashes)
Close
Hashes for torchnorms-1.4.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 76cb8d11b3faf10f930a5c7bfb4ee9f982d0326e3bcf7c952a044c40b5fefb04 |
|
MD5 | f84bbcc2aaa88e1f90456f31b85dc146 |
|
BLAKE2b-256 | 3d79c8d1681e416bfb66d2f64ca07f065ec850f6984781ff5c15f57bf0c60fb6 |