Diffusion model for galaxy generation
Project description
Contains two jax functions ScoreNet32 and ScoreNet64. 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
galaxygrad-0.0.1.tar.gz
(8.2 MB
view details)
Built Distribution
File details
Details for the file galaxygrad-0.0.1.tar.gz
.
File metadata
- Download URL: galaxygrad-0.0.1.tar.gz
- Upload date:
- Size: 8.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7ead18662d33156be9ecd68dd3a11a76f89addad5ac89e0d284bb7634e2506cb |
|
MD5 | fa3d464d9c6952ff0d38bd3babe6ba8b |
|
BLAKE2b-256 | 0569c94ac3d50e4dec6ba9517c32e188e845b4b02f352c070c86d9c80f62ee1b |
File details
Details for the file galaxygrad-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: galaxygrad-0.0.1-py3-none-any.whl
- Upload date:
- Size: 8.2 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 05037b999495996a677bfbddfeeb4d0f918595bc63073d301424688be193fc08 |
|
MD5 | e1cd1e718f6f79358542b10d429cb92c |
|
BLAKE2b-256 | 5ce68d3c1e852df7b2177525c1c5259fddfc6cfb7224907ee0be04a7a8358610 |