Ptychography through Differentiable Programming
The aim of this project is to write the forward problem: aka writing the microscope data generation, both for electron and optical microscopes in JAX so that it's end to end differentiable and using this differentiability to run modern optimizers such as Adam and Adagrad to solve for the inverse problem - which is ptychography in our case.
All the work here is in Python, performed on a x64 based processor workstation, running Ubuntu Linux 22.04. However, none of the packages here have Linux as a dependency, so this should run in Windows/Mac environments too -- just the path commands may be a bit different.
This will install the package as ptyrodactyl, which is the package that all the codes are.
The codes themselves are in the src directory, following the modern toml convention as the ptyrodactyl folder.
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Release files for ptyrodactyl 2026.3.24
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ptyrodactyl-2026.3.24.tar.gz | 110.0 kB | Without provenance | Details for ptyrodactyl-2026.3.24.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ptyrodactyl-2026.3.24-py3-none-any.whl | Python 3 | none | any | Details for ptyrodactyl-2026.3.24-py3-none-any.whl |
Total release size: 234.8 kB
Release files / ptyrodactyl-2026.3.24.tar.gz
| Download URL | ptyrodactyl-2026.3.24.tar.gz |
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| Size | 110.0 kB |
| Tags | Source |
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Release files / ptyrodactyl-2026.3.24-py3-none-any.whl
| Download URL | ptyrodactyl-2026.3.24-py3-none-any.whl |
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| Size | 124.8 kB |
| Tags | Python 3 |
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