Is there anything we lose by using Google Colab for DeepChem?
DeepChem's project web page indicates further documentation and access to the source files used.  Just click the «fork me on github» sign in the top right hand corner leads you to this page.  From the notes there, it becomes obvious that many tasks the program suite handles are managed with Python which you should install in first place (e.g., Python's Python, or Anaconda's Python) then offering a platform independent use of deepchem in Linux, Mac, or Windows (see this report).

Once you have this installed, you just have to solve the «must have» dependencies», in Python's Python with python package installer pip3 on the CLI

pip3 install joblib pandas sklearn tensorflow pillow deepchem

and maybe the ones listed as «soft requirements» such as RDKit.

A nice thing is that a package manager like pip will check if additional requirements have to be adjusted, and if so, will offer to adjust your system accordingly «on the fly».  Just be aware that you might need a considerable chunk free memory on permanent memory for the modules deepchem relies.  Don't forget the inofficial package (wheel) index for Python modules in Windows by Christopf Gohlke which may assist you in solving the dependencies, too.