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

This version

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-1.2.2.tar.gz (6.0 kB view details)

Uploaded Source

Built Distribution

torchnorms-1.2.2-py3-none-any.whl (15.8 kB view details)

Uploaded Python 3

File details

Details for the file torchnorms-1.2.2.tar.gz.

File metadata

  • Download URL: torchnorms-1.2.2.tar.gz
  • Upload date:
  • Size: 6.0 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/4.36.1 CPython/3.6.9

File hashes

Hashes for torchnorms-1.2.2.tar.gz
Algorithm Hash digest
SHA256 32cb88da10eff76fd49fa9e56fcf3690df193821ab18eb3d031beaab798b1443
MD5 0b849b26ff847fb63ca003914f51a153
BLAKE2b-256 075ab3ede0caf3d343ccbad1a61766b2dd2b5947de177c5e2f52fc05356cd65d

See more details on using hashes here.

File details

Details for the file torchnorms-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: torchnorms-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 15.8 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/4.36.1 CPython/3.6.9

File hashes

Hashes for torchnorms-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 a335fbbda65c950469c2bc29278b0715dd6c2ae8e0ac173bb0cb8a3c1422a1e1
MD5 4b75feeee31d2d4d677bd0307871732b
BLAKE2b-256 92661194774d741c8fc6cbfa02ac2567ff74248dc2c7dcd59608cc1edd71c3a9

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