Differentiable Fuzzy Logic operators for

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for osoblanco from gravatar.com osoblanco

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Pasquale Minervini, Erik Arakelyan
  • Requires: Python >=3.6
Classifiers

Project description

torch-norms

t-norms in PyTorch

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for osoblanco from gravatar.com osoblanco

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Pasquale Minervini, Erik Arakelyan
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

1.5.8

1.5.7

1.5.6

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.3

This version

1.1.2

1.1.1

1.1.0

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.0.1

Download files

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

Source Distribution

torchnorms-1.1.2.tar.gz (5.7 kB view details)

Uploaded Source

Built Distribution

torchnorms-1.1.2-py3-none-any.whl (15.3 kB view details)

Uploaded Python 3

File details

Details for the file torchnorms-1.1.2.tar.gz.

File metadata

  • Download URL: torchnorms-1.1.2.tar.gz
  • Upload date:
  • Size: 5.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.13.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.9

File hashes

Hashes for torchnorms-1.1.2.tar.gz
Algorithm Hash digest
SHA256 a003dea06f5f17095040ac7c11629122ddddd50dcd183b88f18c09a87b9eeada
MD5 c92c8b916f4693c041f9bb6220133ac9
BLAKE2b-256 edae6239538b2c2d8a7be7a740ca77cff8e34ba55e56ca391c1e871155d4b387

See more details on using hashes here.

File details

Details for the file torchnorms-1.1.2-py3-none-any.whl.

File metadata

  • Download URL: torchnorms-1.1.2-py3-none-any.whl
  • Upload date:
  • Size: 15.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.13.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.9

File hashes

Hashes for torchnorms-1.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 43f32ab39fbceb1bfe8e6dec630e4102f677a3e444b3fcbd30b327fc2f059a9a
MD5 c826cc67a891ecdd2b06c9a681de2911
BLAKE2b-256 e9ec4d5c9cf8d34a1ca64f26741cfd87b44f11c380169219742fac3e6ac6d1bc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page