I have been looking to contribute in some nice data science repositories in python. I have searched some nice repos which are in their begining phases or rather they are in a position that they can be touched to improve and amateurs like me in machine learning with almost no commit in open sources, can do a pretty good job committing to those. Keeping that in mind, I am starting to list down some of the repos like that: (1) dython: This is a python data tools repo. Although this is published now and has somewhat no issues; it looks like being somewhat open-ended creative people can add a lots of other tools and functionality to this tool, make it more main streamed and therefore increase their individual and the package's overall progress. (2) simpletransformers : This is simple transformer written by Thilina Rajapakse. This is an amazing package which uses the huggingface's transformer library and then combines its high level knowledge requirements into its intrinsic progra...
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