pyMSDtorch 0.1.6

Python Boilerplate contains all the boilerplate you need to create a Python package.

pyMSDtorch provides easy access to a number of segmentation and denoising methods using convolution neural networks. The tools available are build for microscopy and synchrotron-imaging/scattering data in mind, but can be used elsewhere as well.

The easiest way to start playing with the code is to install pyMSDtorch and perform denoising/segmenting using custom neural networks in our tutorial notebooks located in the pyMSDtorch/tutorials folder.

Check the readthedocs page or the README.md file for more information.

History

0.1.0 (2021-08-10)

• First release.

0.1.1 (2022-11-28)

• Second release

• getting ready for ‘pip install pyMSDtorch’

• added docstrings as much as we can

• building template notebooks

0.1.2-6 (2022-12-15)

• Second release - but now for real

• Ready for ‘pip install pyMSDtorch’

• Documentation update

• Added notebooks and functionality for image classification