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

This version

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-0.10.0.tar.gz (29.2 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.10.0-py3-none-any.whl (27.7 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.10.0.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.10.0.tar.gz
  • Upload date:
  • Size: 29.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for audiolm-pytorch-0.10.0.tar.gz
Algorithm Hash digest
SHA256 6916aeb3509521a874e19ae1dc21d8f89e977502804c757b2ef56e5d5e1c527b
MD5 9cc0c0e3afb6e672d2dbc7aa6d98dd03
BLAKE2b-256 9ff66f38ea9e1c807b3610aa9cfd975371429bc3113de9fd84e871ef7012feb3

See more details on using hashes here.

Provenance

File details

Details for the file audiolm_pytorch-0.10.0-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.10.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0080c3bfa3698c4cf607417944840e3e54b920384e7c6e40b4dc803076a81a5a
MD5 55ed9a9e77f5d88556e81039dc3d3407
BLAKE2b-256 d19aa95b80effe6ece760f57588bcb9b0ebfe89db8fd5a4aee5a7f2f0dfc16cc

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