Completed porting all shell commands in LEAF into python code!

[vaseline555]

Hi all!

I have updated my old FL simulation repo. (I made it for personal research purpose, FYI):
(https://github.com/vaseline555/Federated-Learning-PyTorch)
It now supports

1. extensive datasets including all torchvision.datasets, torchtext.datasets, LEAF benchmark
   (now you DON'T have to prepare raw data manually! - I've ported ALL shell commands into python😁),
2. various models (some are adapted from transformers library),
3. with some basic FL algorithms (FedAvg, FedSGD, and FedProx),
4. and popular non-IID simulation scenario.

If you have interest, please visit my repository.
Thank you and also welcome any feedbacks or PRs. 😀