X-Transformers - 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, transformers
Classifiers

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, transformers
Classifiers

Release history Release notifications | RSS feed

1.42.12

1.42.11

1.42.10

1.42.9

1.42.8

1.42.7

1.42.6

1.42.5

1.42.4

1.42.3

1.42.2

1.42.0

1.41.5

1.41.4

1.41.3

1.41.2

1.41.1

1.41.0

1.40.11

1.40.10

1.40.9

1.40.8

1.40.7

This version

1.40.6

1.40.5

1.40.4

1.40.3

1.40.2

1.40.1

1.40.0

1.39.4

1.39.3

1.39.1

1.39.0

1.38.3

1.38.2

1.38.1

1.38.0

1.37.10

1.37.9

1.37.8

1.37.7

1.37.6

1.37.5

1.37.4

1.37.3

1.37.2

1.37.1

1.37.0

1.36.0

1.35.3

1.35.2

1.35.1

1.35.0

1.34.1

1.34.0

1.32.15

1.32.14

1.32.12

1.32.11

1.32.10

1.32.9

1.32.8

1.32.7

1.32.6

1.32.5

1.32.4

1.32.2

1.32.1

1.32.0

1.31.14

1.31.12

1.31.11

1.31.10

1.31.9

1.31.8

1.31.7

1.31.6

1.31.5

1.31.4

1.31.3

1.31.2

1.31.1

1.31.0

1.30.23

1.30.22

1.30.21

1.30.20

1.30.19

1.30.18

1.30.17

1.30.16

1.30.15

1.30.14

1.30.12

1.30.11

1.30.10

1.30.9

1.30.8

1.30.7

1.30.6

1.30.4

1.30.3

1.30.2

1.30.1

1.30.0

1.29.2

1.29.1

1.29.0

1.28.5

1.28.4

1.28.2

1.28.1

1.28.0

1.27.22

1.27.21

1.27.20

1.27.19

1.27.18

1.27.17

1.27.16

1.27.15

1.27.14

1.27.12

1.27.11

1.27.10

1.27.9

1.27.8

1.27.7

1.27.6

1.27.5

1.27.4

1.27.3

1.27.2

1.27.1

1.27.0

1.26.6

1.26.5

1.26.4

1.26.3

1.26.2

1.26.1

1.26.0

1.25.15

1.25.14

1.25.12

1.25.11

1.25.10

1.25.9

1.25.8

1.25.7

1.25.6

1.25.5

1.25.4

1.25.3

1.25.2

1.25.1

1.25.0

1.24.7

1.24.6

1.24.5

1.24.4

1.24.3

1.24.2

1.24.0

1.23.6

1.23.5

1.23.4

1.23.3

1.23.2

1.23.1

1.23.0

1.22.24

1.22.23

1.22.22

1.22.21

1.22.20

1.22.19

1.22.18

1.22.17

1.22.16

1.22.15

1.22.12

1.22.11

1.22.10

1.22.9

1.22.8

1.22.7

1.22.6

1.22.5

1.22.4

1.22.3

1.22.2

1.22.1

1.22.0

1.21.4

1.21.3

1.21.2

1.21.1

1.21.0

1.20.0

1.19.1

1.19.0

1.18.2

1.18.1

1.18.0

1.17.3

1.17.2

1.17.1

1.17.0

1.16.23

1.16.22

1.16.21

1.16.20

1.16.19

1.16.18

1.16.17

1.16.16

1.16.15

1.16.14

1.16.12

1.16.11

1.16.10

1.16.9

1.16.8

1.16.7

1.16.6

1.16.5

1.16.4

1.16.3

1.16.2

1.16.1

1.16.0

1.15.2

1.15.1

1.15.0

1.14.0

1.12.3

1.12.2

1.12.1

1.12.0

1.11.0

1.10.0

1.9.2

1.9.1

1.9.0

1.8.2

1.8.1

1.8.0

1.7.17

1.7.16

1.7.15

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

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.3

1.5.2

1.5.1

1.5.0

1.4.0

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.1

1.1.0

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.33.1

0.33.0

0.32.3

0.32.2

0.32.1

0.32.0

0.31.2

0.31.1

0.31.0

0.30.0

0.29.2

0.29.1

0.29.0

0.28.4

0.28.3

0.28.2

0.28.1

0.28.0

0.27.2

0.27.1

0.27.0

0.26.6

0.26.5

0.26.4

0.26.3

0.26.2

0.26.1

0.26.0

0.25.9

0.25.8

0.25.7

0.25.5

0.25.4

0.25.3

0.25.2

0.25.0

0.24.1

0.24.0

0.23.0

0.22.3

0.22.2

0.22.1

0.22.0

0.21.1

0.21.0

0.20.9

0.20.8

0.20.7

0.20.5

0.20.4

0.20.3

0.20.2

0.20.1

0.20.0

0.19.1

0.19.0

0.18.0

0.17.13

0.17.12

0.17.11

0.17.10

0.17.9

0.17.8

0.17.7

0.17.6

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17.0

0.16.1

0.16.0

0.15.1

0.15.0

0.14.5

0.14.4

0.14.3

0.14.2

0.14.1

0.14.0

0.12.4

0.12.3

0.12.2

0.12.1

0.12.0

0.11.11

0.11.10

0.11.9

0.11.8

0.11.7

0.11.6

0.11.5

0.11.4

0.11.2

0.11.1

0.11.0

0.10.2

0.10.1

0.10.0

0.9.1

0.9.0

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.1

0.1.0

0.0.30

0.0.29

0.0.28

0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.12

0.0.11

0.0.10

0.0.9

0.0.7

0.0.6

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

x_transformers-1.40.6.tar.gz (62.9 kB view details)

Uploaded Source

Built Distribution

x_transformers-1.40.6-py3-none-any.whl (44.7 kB view details)

Uploaded Python 3

File details

Details for the file x_transformers-1.40.6.tar.gz.

File metadata

  • Download URL: x_transformers-1.40.6.tar.gz
  • Upload date:
  • Size: 62.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for x_transformers-1.40.6.tar.gz
Algorithm Hash digest
SHA256 4f6d012a90b0c2d0b7e3dad049781c5e4e893a35bae653b4ea87eacecad4164f
MD5 0e86ac8701b43df46d58bc326bf0befd
BLAKE2b-256 3685883eeaddd063ea349c83228c1768ab2e0da790080a2a3b0f49032349dc95

See more details on using hashes here.

File details

Details for the file x_transformers-1.40.6-py3-none-any.whl.

File metadata

File hashes

Hashes for x_transformers-1.40.6-py3-none-any.whl
Algorithm Hash digest
SHA256 eea6b492b900529dcd44ba4cf54964c765cea41fb04553e69322312febee8fc5
MD5 6787fe5458686bf9a2d158c85e27a147
BLAKE2b-256 b9d36221195d4e4c129bf9d6a195404b49dd0dbb5efd1871bb40142a38f956f3

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