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-0.0.7.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-0.0.7.tar.gz.
File metadata
- Download URL: galaxygradtemp-0.0.7.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 |
0e096e302b4e425096879f461bd91374d1ce7d50b5e33c987f45ea9e3919aa31
|
|
| MD5 |
2519497a72b8d4f6b334e7be02553a34
|
|
| BLAKE2b-256 |
d9ea4b687f752f78a862a4ef977eccf9965c9796c93d6a52c496f615596ec33c
|
File details
Details for the file galaxygradtemp-0.0.7-py3-none-any.whl.
File metadata
- Download URL: galaxygradtemp-0.0.7-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 |
43cc36702687ccd6cfec92d53d839114fc831b2359553b30ca7b4a85d1d92eab
|
|
| MD5 |
aff7111acb6428153e446679d23208e2
|
|
| BLAKE2b-256 |
3d856956b6033113611c35ed3024b87ec50375da4e4191e25fa2a5572f8d0d34
|
