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

This version

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

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-0.29.0.tar.gz (38.6 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.29.0-py3-none-any.whl (36.6 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.29.0.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.29.0.tar.gz
  • Upload date:
  • Size: 38.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for audiolm-pytorch-0.29.0.tar.gz
Algorithm Hash digest
SHA256 998f0e3f77371158834c156f773bffa5a5b6403288c80f4ebbbd1002094fa663
MD5 6fce596029d9d0f6c3c810734f49a99a
BLAKE2b-256 469d565ccdab9c55050d94e71b1c760311ff599bd8288d65176c307611372349

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-0.29.0-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.29.0-py3-none-any.whl
Algorithm Hash digest
SHA256 77b3a98fd251bb1789eba9dfc34387351149362c9612a6f7d38a26ffbcad1745
MD5 980da346743429137dbdd38086270ba4
BLAKE2b-256 f0a591e69a79d2c24554e1c0e6ae91967fb5b6bdfeee2aa83c6d00fb6d90bad4

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