Vision Transformer (ViT) - Pytorch

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang
  • Tags artificial intelligence , attention mechanism , image recognition
Classifiers
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang
  • Tags artificial intelligence , attention mechanism , image recognition
Classifiers

Release history Release notifications | RSS feed

1.18.0

1.17.8

1.17.7

1.17.6

1.17.5

1.17.4

1.17.3

1.17.2

1.17.1

1.17.0

1.16.5

1.16.4

1.16.3

1.16.2

1.16.1

1.16.0

1.15.7

1.15.6

1.15.5

1.15.4

1.15.3

1.15.2

1.15.1

1.15.0

1.14.5

1.14.4

1.14.2

1.14.1

1.14.0

1.12.5

1.12.4

1.12.3

1.12.2

1.12.1

1.12.0

1.11.7

1.11.6

1.11.5

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.10.1

1.10.0

1.9.2

1.9.1

1.9.0

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.14

1.7.12

1.7.11

1.7.10

1.7.9

1.7.8

1.7.7

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.9

1.6.8

1.6.7

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.3

1.5.2

1.5.1

1.5.0

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.2

1.2.1

1.2.0

1.1.1

1.1.0

1.0.2

1.0.1

1.0.0

0.40.2

0.40.1

0.40.0

0.39.1

0.39.0

0.38.1

0.38.0

0.37.1

0.37.0

0.36.2

0.36.1

0.36.0

0.35.8

0.35.7

0.35.6

This version

0.35.5

0.35.4

0.35.3

0.35.2

0.35.1

0.35.0

0.34.1

0.34.0

0.33.2

0.33.1

0.33.0

0.32.2

0.32.1

0.32.0

0.31.1

0.31.0

0.30.0

0.29.1

0.29.0

0.28.2

0.28.1

0.28.0

0.27.1

0.27.0

0.26.7

0.26.6

0.26.5

0.26.4

0.26.3

0.26.2

0.26.1

0.26.0

0.25.6

0.25.5

0.25.3

0.25.2

0.25.1

0.25.0

0.24.3

0.24.2

0.24.1

0.24.0

0.23.2

0.23.1

0.23.0

0.22.0

0.21.1

0.21.0

0.20.8

0.20.7

0.20.6

0.20.5

0.20.4

0.20.3

0.20.2

0.20.1

0.20.0

0.19.6

0.19.5

0.19.4

0.19.3

0.19.2

0.19.1

0.19.0

0.18.4

0.18.3

0.18.2

0.18.1

0.18.0

0.17.3

0.17.2

0.17.1

0.17.0

0.16.13

0.16.12

0.16.11

0.16.10

0.16.9

0.16.8

0.16.7

0.16.6

0.16.5

0.16.4

0.16.3

0.16.2

0.16.1

0.16.0

0.15.2

0.15.1

0.15.0

0.14.5

0.14.4

0.14.3

0.14.2

0.14.1

0.14.0

0.12.0

0.11.1

0.11.0

0.10.3

0.10.2

0.10.1

0.9.3

0.9.2

0.9.1

0.9.0

0.8.0

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.2

0.6.1

0.6.0

0.5.1

0.5.0

0.4.0

0.3.0

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.0

0.0.5

0.0.4

0.0.3

0.0.2

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

vit-pytorch-0.35.5.tar.gz (55.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vit_pytorch-0.35.5-py3-none-any.whl (68.9 kB view details)

Uploaded Python 3

File details

Details for the file vit-pytorch-0.35.5.tar.gz.

File metadata

  • Download URL: vit-pytorch-0.35.5.tar.gz
  • Upload date:
  • Size: 55.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for vit-pytorch-0.35.5.tar.gz
Algorithm Hash digest
SHA256 7529fd82faae3876e65c4c4e9618d397b54bd45b1fde83bee794f5a84923c934
MD5 b7c87dbc4ec58a5972b0578d44ecce4c
BLAKE2b-256 3c76620bb90f8bba2597ff4bf2080d5cbe22281ddf0bf56d809d743270042127

See more details on using hashes here.

File details

Details for the file vit_pytorch-0.35.5-py3-none-any.whl.

File metadata

  • Download URL: vit_pytorch-0.35.5-py3-none-any.whl
  • Upload date:
  • Size: 68.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for vit_pytorch-0.35.5-py3-none-any.whl
Algorithm Hash digest
SHA256 89fb64b8fda1bc7d1e158feee7960a0fff7ab59723579afa7acf356f94dba148
MD5 289f05878acb0bee762c83e8c3d06cbc
BLAKE2b-256 9eb17fb39a6683dadd920e167a065b0ae4a1b16ab9bf80f4910edb3b5425d67d

See more details on using hashes here.

Supported by

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