| Name | galaxygrad JSON |
| Version |
0.2.1
JSON |
| download |
| home_page | None |
| Summary | Diffusion model for galaxy generation |
| upload_time | 2025-02-13 20:11:29 |
| maintainer | None |
| docs_url | None |
| author | Matt Sampson |
| requires_python | None |
| license | None |
| keywords |
python
diffusion
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
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. Current functions include ScoreNetXX(image) returns gradients as stated. Data transformatons are now done inside the package.
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