If you are looking for issues to work on, here are some issues organized by priority:

• High Priority
• Normal Priority
• Low Priority

(most of these are not simple straightforward issues; there are some nice small, but more complicated issues

In augmentation, elastic_transform, it only applies a random transform on one input image array. I would think to be used for training, the image and mask pair should be transform in the same way. However, this single-input-image, single-output-image method makes it very inconvenient. Could we deform a list of images (np.arrays) using the same transformation in this method ? Thanks!

AT(Attribute Tag) is an ordered pair of 16-bit unsigned integers, so it should not be treated as a simple string. I think it can be parsed as uint32 or a formatted string (e.g. '0x00020001', '0002,0001').

This
$MeshFormat
4.1 0 8

is not supported in MeshGmshLoader