Name | galaxygrad JSON |
Version |
0.1.5
JSON |
| download |
home_page | |
Summary | Diffusion model for galaxy generation |
upload_time | 2024-02-20 21:44:35 |
maintainer | |
docs_url | None |
author | Matt Sampson |
requires_python | |
license | |
keywords |
python
diffusion
|
VCS |
|
bugtrack_url |
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requirements |
No requirements were recorded.
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Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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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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