Skip to main content

Vector Quantization - Pytorch

Project description

The author of this package has not provided a project description

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vector_quantize_pytorch-1.9.17.tar.gz (21.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vector_quantize_pytorch-1.9.17-py3-none-any.whl (18.0 kB view details)

Uploaded Python 3

File details

Details for the file vector_quantize_pytorch-1.9.17.tar.gz.

File metadata

  • Download URL: vector_quantize_pytorch-1.9.17.tar.gz
  • Upload date:
  • Size: 21.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for vector_quantize_pytorch-1.9.17.tar.gz
Algorithm Hash digest
SHA256 2d1aed97ffcedc2838e6078a110b1cc78a17fde75817d5ce3b135ada310838d8
MD5 875318fea2d3bb9d76de88c2f403421d
BLAKE2b-256 4a320fec043c7e18fd327c713592389a512bb4b9349086bfb69c1ef4ffebe8dc

See more details on using hashes here.

File details

Details for the file vector_quantize_pytorch-1.9.17-py3-none-any.whl.

File metadata

File hashes

Hashes for vector_quantize_pytorch-1.9.17-py3-none-any.whl
Algorithm Hash digest
SHA256 c75f8856eb6515f1a62017885f0294d900e59b9482cef951425a4590fd9f89f1
MD5 8fc459a0b8b317f30ad19c130c701cec
BLAKE2b-256 82ae9863696a4332cc8966b167c425c162322c208a476af312b4e2b179153d81

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page