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.
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
galaxygradtemp-0.0.19.tar.gz
(4.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file galaxygradtemp-0.0.19.tar.gz.
File metadata
- Download URL: galaxygradtemp-0.0.19.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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a6d7bd3e0883270e57c4299647b5c8a0f252ba233f30446a000f7bcf3bffddd0
|
|
| MD5 |
24a6a244d8444b946a678f2e1418417b
|
|
| BLAKE2b-256 |
61ac767375dd064fe96248e9fc14c84477da77d346bd845ae02db692d7ce082c
|
File details
Details for the file galaxygradtemp-0.0.19-py3-none-any.whl.
File metadata
- Download URL: galaxygradtemp-0.0.19-py3-none-any.whl
- Upload date:
- Size: 4.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
56eaeadfb81c0b09419074a365dd8654195adcd8522bb3387d34f4e6e9cbad11
|
|
| MD5 |
01eef225c9728a7348227d92ba4aa2ba
|
|
| BLAKE2b-256 |
8449a998db9a9128befbc0b26a04cca02700049cd9111e366dab18b1e7d4264f
|
