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-0.0.15.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-0.0.15.tar.gz.
File metadata
- Download URL: galaxygradtemp-0.0.15.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 |
78a3722102f42b037dd9bcbb928581f3b235448adae15d5ef4ee47e0b81e8b46
|
|
| MD5 |
1b2733fd434765c574930e9baad7bc30
|
|
| BLAKE2b-256 |
1d81162784d6d9bbb8e3329c7f65106054c3dbe304e028b7761cca3824af6d33
|
File details
Details for the file galaxygradtemp-0.0.15-py3-none-any.whl.
File metadata
- Download URL: galaxygradtemp-0.0.15-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 |
ca88cbe0ff83f9a571f37d8f757c8f115427f2b912a0c54507e20a0397e82371
|
|
| MD5 |
2701562a70c950b4db63ebc004cbe67b
|
|
| BLAKE2b-256 |
4288be532616437215f1ed8141a7583363f78a4f288003863a466c8e8c2c6ee1
|
