Introduction

This is a collection of methods to generate molecular features for machine learning, including common feautre representations like coulomb matrix etc. Also a graph generator for graph neural networks is found in molreps. This repo is built and can be easily expandend following this recommended style:

• In molreps the main classes are listed

• In methods individual functions are collected.

• Use a google-style doc string documentation for each function or class.