SoundStorm - Efficient Parallel Audio Generation from Google Deepmind, in 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

0.5.0

0.4.11

0.4.10

0.4.9

0.4.8

0.4.7

This version

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.1

0.3.0

0.2.0

0.1.4

0.1.2

0.1.1

0.1.0

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

0.0.7

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

soundstorm_pytorch-0.4.6.tar.gz (19.7 kB view details)

Uploaded Source

Built Distribution

soundstorm_pytorch-0.4.6-py3-none-any.whl (17.4 kB view details)

Uploaded Python 3

File details

Details for the file soundstorm_pytorch-0.4.6.tar.gz.

File metadata

  • Download URL: soundstorm_pytorch-0.4.6.tar.gz
  • Upload date:
  • Size: 19.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for soundstorm_pytorch-0.4.6.tar.gz
Algorithm Hash digest
SHA256 df190f2c2d53c15e6bdda9ae0376174c1e15156252046081ffd4a2dfad13e8a4
MD5 6d9ac89cb649ae9acddbbbaefbeee44d
BLAKE2b-256 89631b51dbbd66e52948b80929fb53520d8f33630e65e315a9f27faa4ef03710

See more details on using hashes here.

File details

Details for the file soundstorm_pytorch-0.4.6-py3-none-any.whl.

File metadata

File hashes

Hashes for soundstorm_pytorch-0.4.6-py3-none-any.whl
Algorithm Hash digest
SHA256 e5611475b1fe8445ab41199bbe1da5d868584805d58ce2234be07f0d84f98502
MD5 ffab55173e36b63a049e12b5c24cf6f3
BLAKE2b-256 e5a7a3794d784035aa936ec3a25ab75094ca809bc9d305cdc684aab38c1f6eae

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