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

pminervini

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

This version

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

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-1.5.3.tar.gz (7.0 kB view details)

Uploaded Source

Built Distribution

torchnorms-1.5.3-py3-none-any.whl (18.8 kB view details)

Uploaded Python 3

File details

Details for the file torchnorms-1.5.3.tar.gz.

File metadata

  • Download URL: torchnorms-1.5.3.tar.gz
  • Upload date:
  • Size: 7.0 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/4.63.0 CPython/3.6.9

File hashes

Hashes for torchnorms-1.5.3.tar.gz
Algorithm Hash digest
SHA256 4ed563de108ec99a52ce55389d0f70ea6acd84021014647282b8b50d4b874cec
MD5 7f8f3d584f76d686a8b9a855331fcb5c
BLAKE2b-256 1cb87365f71a1b0727e9df68a41e0ff55300d5426920ba2e47d609a1cd193f14

See more details on using hashes here.

File details

Details for the file torchnorms-1.5.3-py3-none-any.whl.

File metadata

  • Download URL: torchnorms-1.5.3-py3-none-any.whl
  • Upload date:
  • Size: 18.8 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/4.63.0 CPython/3.6.9

File hashes

Hashes for torchnorms-1.5.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3c5065b44ef9e3bf40e3665992ac6d625b3874cb8189a707803105f6487178fe
MD5 117345c5fa9c9736ff86b2d0e1c2b030
BLAKE2b-256 e0b1abf0d36a7fba3a7a160f208a587463789273ec97476cba97d6d775657986

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