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

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

This version

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-0.0.3.tar.gz (5.2 kB view details)

Uploaded Source

Built Distribution

soundstorm_pytorch-0.0.3-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file soundstorm-pytorch-0.0.3.tar.gz.

File metadata

  • Download URL: soundstorm-pytorch-0.0.3.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for soundstorm-pytorch-0.0.3.tar.gz
Algorithm Hash digest
SHA256 f479e02ce7d9da72f988648c1b400556d275616d97aa1c34143377544fcd0182
MD5 74ff5327d949cfc4c8996523c615b37a
BLAKE2b-256 4a0c1efb09c6aa5eef0b67fdfef9d3fec362994a43d2004ce65004ce54c10a4c

See more details on using hashes here.

File details

Details for the file soundstorm_pytorch-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for soundstorm_pytorch-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 aacdeebd244e9910e0781191205b8308da20f76163c99ec96a45d78a9de93c01
MD5 828e44e4d1f23bd37fc2f6d265073d42
BLAKE2b-256 6c8c4e8298ed382a4b21d6c0f5d982daf07d0c76f48542bfd1038f9101f4d133

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