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

1.1.2

1.1.1

1.1.0

This version

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-1.0.7.tar.gz (5.5 kB view details)

Uploaded Source

Built Distribution

torchnorms-1.0.7-py3-none-any.whl (14.7 kB view details)

Uploaded Python 3

File details

Details for the file torchnorms-1.0.7.tar.gz.

File metadata

  • Download URL: torchnorms-1.0.7.tar.gz
  • Upload date:
  • Size: 5.5 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-1.0.7.tar.gz
Algorithm Hash digest
SHA256 1dd05fc9c8d64d78c42e0c2f379bfc237c9c11b9f24ed207669dd15a275ae664
MD5 74b47b8cf3af8076fcdd3f93928fce15
BLAKE2b-256 36f9bc39f5247621b2294fc4caf0750aefb495d30a9851c5d0271b8b62560b09

See more details on using hashes here.

File details

Details for the file torchnorms-1.0.7-py3-none-any.whl.

File metadata

  • Download URL: torchnorms-1.0.7-py3-none-any.whl
  • Upload date:
  • Size: 14.7 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-1.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 e70dbeab045523db24deb46d31736d1b37c4dea01eed1b36b11b3043d3c3e8c8
MD5 034931b5be59a9352a51b24083a4cbff
BLAKE2b-256 7250a5fdb54db1093ca2bfb9e21b23ba1e01a32c028950e210426699667a17c2

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