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
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-0.0.12.tar.gz
(4.0 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-0.0.12.tar.gz.
File metadata
- Download URL: galaxygradtemp-0.0.12.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f249f508c2d28f796bd8504f7cf384252cfb788af75a746648662fb6e6c812d4
|
|
| MD5 |
85b7058ab6f8677d31a6600a7e93cda8
|
|
| BLAKE2b-256 |
effed768696c8e5f55b829979a4d4a69c2d691190d7ff555584e9391718111ad
|
File details
Details for the file galaxygradtemp-0.0.12-py3-none-any.whl.
File metadata
- Download URL: galaxygradtemp-0.0.12-py3-none-any.whl
- Upload date:
- Size: 4.8 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 |
b154acbf4bbbe3af45ec7a415183e6c6df29193d87b4e65d90d679988810352e
|
|
| MD5 |
fd149141cb98e9e4f8d71794b8913eed
|
|
| BLAKE2b-256 |
ada58aa6e1df04e3f6da27a92bc19879c5b8d1298b9817f29815936cd3766b8f
|