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

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

This version

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-0.0.40.tar.gz (20.2 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.0.40-py3-none-any.whl (20.3 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.0.40.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.0.40.tar.gz
  • Upload date:
  • Size: 20.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for audiolm-pytorch-0.0.40.tar.gz
Algorithm Hash digest
SHA256 7452b7cd848c0181d130d9669e7ebd38255f927be2f0f6d145d52dc4eb0c7861
MD5 2e474c73c146d23ec305bb27e47fabe1
BLAKE2b-256 a980276e786993693ccde49769d8d7f7715b58dc8e1a7df052d9b9a6740b982a

See more details on using hashes here.

Provenance

File details

Details for the file audiolm_pytorch-0.0.40-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.0.40-py3-none-any.whl
Algorithm Hash digest
SHA256 05ddbffa986231ae048e10f25b0275feda8968f7db7117505b2964f4aafc9449
MD5 2c6371e45aef7b2e8a45f4174cc51f3c
BLAKE2b-256 14c17a227ab88e4e640fb03619f4541cc7dd4186f3f699875bd31725ec9b243f

See more details on using hashes here.

Provenance

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