xulabs

@buptwhr to simulate the subtomograms please use the tomominer package pre-installed on the server.

@buptwhr read FAML paper and see if you can understand the method. Then see if the output of FAML makes sense.

@xiangruz please take a look at this bug reported by @buptwhr

@buptwhr fixed

@XindiWu code add to aitom/classify/deep/supervised/cnn/robustness/attack_defense including not only code, but also readme.md and a python code tutorial. pls include only text files.

@pconesa great! If you could help us with the interfacing, that would be wonderful! The usage of current functions can be found in the following tutorials. https://github.com/xulabs/aitom_doc/tree/master/tutorials

Sounds good! The simplest method we have is particle picking. https://github.com/xulabs/aitom_doc/tree/master/tutorials/008_particle_picking Perhaps we could start from here.

Great. Thanks.

Thanks a lot @pconesa Currently, almost all of the aitom developers are student volunteers, and they are busy at the end of this semester. Once they are available, I will...

@zhuzhenxi yes we may deploy it to pipy. Please check how to do it and let me know. Thanks.