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

1.5.3

1.5.2

1.5.1

This version

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-1.5.0.tar.gz (7.0 kB view details)

Uploaded Source

Built Distribution

torchnorms-1.5.0-py3-none-any.whl (18.7 kB view details)

Uploaded Python 3

File details

Details for the file torchnorms-1.5.0.tar.gz.

File metadata

  • Download URL: torchnorms-1.5.0.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-1.5.0.tar.gz
Algorithm Hash digest
SHA256 833e1cc7c649af64ce3bcc12e600ef40d84de2ed2733703468b677a98291e4e4
MD5 2a701c35249b3327bfbdb74ae3546ee5
BLAKE2b-256 e365b9a77e781d560270ba724f37cf2d27fead431bb2853a8f8464ab7cf83e15

See more details on using hashes here.

File details

Details for the file torchnorms-1.5.0-py3-none-any.whl.

File metadata

  • Download URL: torchnorms-1.5.0-py3-none-any.whl
  • Upload date:
  • Size: 18.7 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/4.63.0 CPython/3.6.9

File hashes

Hashes for torchnorms-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 30dfc2b03965547b8ee164f023fab25df5a57c73369181b9069a65bec56df0df
MD5 30576e3ddc86d6ca2910fdfe21b2c7ac
BLAKE2b-256 984f0ce2ef46750b85b683893774c8534cdab9ef6993d29178fc7a9ed19763a5

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