A lot of the stuff in the repo is pretty marginal, from the point of view of mainstream molecular/cell/developmental biology, so i don't think there is a reliable systematic way to find it.
In particular, that repo collects what are basically discrete maths approaches to biology: representing living things as systems of symbols rather than differential equations. I have always found that approach intuitively appealing - something about biological robustness meaning you have an opportunity to ignore a load of quantitative details and focus on the underlying structure. But in twenty-five years of being vaguely interested in it, i have never seen a really productive application of that approach, outside of treating DNA as a string of symbols.
Still, perhaps 'marginal' is just another way of saying 'cutting-edge'. I think it's most likely to show up in elite research institutes where people can do slightly out-there stuff, or in explicitly cross-disciplinary institutes or programmes.
The specific terms you mention have different meanings to me:
bioinformatics - treating DNA, RNA, and protein sequences as text and applying computation to them, eg searching, phylogeny, structure and function prediction
computational biology - various approaches to simulating cells and tissues, usually involving numerically evaluating differential equations at some level, eg how morphogens cause tissue patterning
computational biophysics - computational chemistry but for large biomolecules, eg simulating how proteins work
systems biology - smoke and mirrors used to obtain grants
But biologists aren't really into rigorous definitions and fixed boundaries, so you might find interesting stuff within any of these.