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

This version

1.41.0

1.40.11

1.40.10

1.40.9

1.40.8

1.40.7

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-1.41.0.tar.gz (64.3 kB view details)

Uploaded Source

Built Distribution

x_transformers-1.41.0-py3-none-any.whl (45.8 kB view details)

Uploaded Python 3

File details

Details for the file x_transformers-1.41.0.tar.gz.

File metadata

  • Download URL: x_transformers-1.41.0.tar.gz
  • Upload date:
  • Size: 64.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for x_transformers-1.41.0.tar.gz
Algorithm Hash digest
SHA256 56d8a6184f4d9aed36f67f5b6a030410a17c1d8e204d3de92ba5608c61b666a9
MD5 ed70bec070156d23077dfd8ed75ded0d
BLAKE2b-256 58dd184c53c6459a4d79dfc07a967f7e99272c451faf8f02428419f0177ca782

See more details on using hashes here.

File details

Details for the file x_transformers-1.41.0-py3-none-any.whl.

File metadata

File hashes

Hashes for x_transformers-1.41.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1e91f54ca98ccc30e5ee6e246dc68843a0c1eaec581ccff034e6efafad79b825
MD5 d7843e3770558ec1f9d8c1f2deed6d2f
BLAKE2b-256 153dc08a0c09d64736caf55e3a79aa9fa832ee02f2c0bf336e1f5b3a65a4c8ed

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