AudioLM - Language Modeling Approach to Audio Generation from Google Research - 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, deep learning, transformers, attention mechanism, audio generation
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, deep learning, transformers, attention mechanism, audio generation
Classifiers

Release history Release notifications | RSS feed

2.2.3

2.2.2

2.2.1

2.2.0

2.1.4

2.1.2

2.1.1

2.1.0

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.9.1

1.9.0

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.10

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

1.6.7

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.7

1.5.6

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.2.29

1.2.28

1.2.27

1.2.26

1.2.25

1.2.24

1.2.23

1.2.22

1.2.21

1.2.20

1.2.19

1.2.18

1.2.17

1.2.16

1.2.15

1.2.14

1.2.12

1.2.11

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

1.1.6

1.1.5

1.1.4

1.1.2

1.1.1

1.1.0

1.0.6

1.0.5

1.0.4

1.0.2

1.0.1

1.0.0

0.30.7

0.30.4

0.30.3

0.30.2

0.30.1

0.30.0

0.29.0

0.28.2

0.28.1

0.28.0

0.27.4

0.27.3

0.27.2

0.27.1

0.27.0

0.26.8

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

0.25.4

0.25.3

0.25.2

0.25.1

0.25.0

0.24.1

0.24.0

0.23.7

0.23.6

0.23.5

0.23.4

0.23.3

0.23.2

0.23.1

0.23.0

0.22.3

0.22.2

0.22.1

0.22.0

0.21.4

0.21.2

0.21.1

0.21.0

0.20.0

0.19.2

0.19.1

0.19.0

0.18.2

0.18.1

0.18.0

0.17.1

0.17.0

0.16.2

0.16.1

0.16.0

0.15.9

0.15.8

0.15.7

0.15.6

0.15.5

0.15.4

0.15.3

This version

0.15.2

0.15.1

0.15.0

0.14.3

0.14.2

0.14.1

0.14.0

0.12.5

0.12.4

0.12.3

0.12.2

0.12.1

0.12.0

0.11.19

0.11.18

0.11.17

0.11.16

0.11.15

0.11.14

0.11.12

0.11.11

0.11.10

0.11.9

0.11.8

0.11.7

0.11.6

0.11.5

0.11.4

0.11.3

0.11.2

0.11.1

0.11.0

0.10.4

0.10.3

0.10.2

0.10.1

0.10.0

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.3

0.8.1

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.3

0.6.2

0.6.1

0.6.0

0.5.1

0.5.0

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.3

0.2.2

0.2.1

0.2.0

0.1.22

0.1.21

0.1.20

0.1.19

0.1.18

0.1.17

0.1.16

0.1.15

0.1.14

0.1.12

0.1.11

0.1.10

0.1.9

0.1.7

0.1.6

0.1.5

0.1.4

0.1.2

0.1.0

0.0.68

0.0.67

0.0.66

0.0.65

0.0.64

0.0.63

0.0.62

0.0.61

0.0.60

0.0.59

0.0.58

0.0.57

0.0.56

0.0.55

0.0.53

0.0.52

0.0.51

0.0.50

0.0.49

0.0.48

0.0.47

0.0.46

0.0.45

0.0.44

0.0.43

0.0.42

0.0.41

0.0.40

0.0.39

0.0.38

0.0.37

0.0.36

0.0.35

0.0.34

0.0.33

0.0.32

0.0.31

0.0.30

0.0.29

0.0.28

0.0.27

0.0.25

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

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

audiolm-pytorch-0.15.2.tar.gz (31.8 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.15.2-py3-none-any.whl (29.7 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.15.2.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.15.2.tar.gz
  • Upload date:
  • Size: 31.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for audiolm-pytorch-0.15.2.tar.gz
Algorithm Hash digest
SHA256 a1db265df4cf1d97ad9e19ae695e4e7be85fc1e6fd817f31b86afc12cb9155f7
MD5 affa0310eaf575498ea3a204bcdf9460
BLAKE2b-256 9f7a9a466233b48884d6faa199974553e096ee0c0f372d191f7ccd9347fd4621

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-0.15.2-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.15.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9543293059d5f5c1c705e91301a4e3e9a43f16d66a7c3551da74cb7e86258304
MD5 b1f982dc32c081344bcec41f7274606c
BLAKE2b-256 2c014b40c1dcbfdc902d6df302c0d14ed945cec73eaf1d9130e6ba026b50c218

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