Skip to main content

Diffusion model for galaxy generation

Project description

Contains 4 generative diffusion models ScoreNet32 and ScoreNet64 for both the HSC and ZTF surveys. These are used to return the gradients of an arbitrary image with respect to a prior distribution of individual artifact free galaxy models.

Project details


Download files

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

Source Distribution

galaxygradtemp-0.0.16.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

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

galaxygradtemp-0.0.16-py3-none-any.whl (4.9 kB view details)

Uploaded Python 3

File details

Details for the file galaxygradtemp-0.0.16.tar.gz.

File metadata

  • Download URL: galaxygradtemp-0.0.16.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for galaxygradtemp-0.0.16.tar.gz
Algorithm Hash digest
SHA256 aa7d7956826236c205677a13b071dbf3ac5152f80ead6b050ff6117ff8cb6ab1
MD5 283a8e0a43062ab6bb27afacb222bcd4
BLAKE2b-256 c2c5ea8f79949e6becbdb8696a79c18bed71e02787f9da66f31fa4192bd29df5

See more details on using hashes here.

File details

Details for the file galaxygradtemp-0.0.16-py3-none-any.whl.

File metadata

File hashes

Hashes for galaxygradtemp-0.0.16-py3-none-any.whl
Algorithm Hash digest
SHA256 1b3b19be90c87d74e3310eebeca0654cb7b95f29102f7166db20dab125a8ff7c
MD5 0f3817ede0da0f081b4a4d0dbbb35719
BLAKE2b-256 fcebc27c58311a7d4a4b67851d2a42696b2800124172396b6c1093a772f3a070

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