v2.0.0: Major updates and new papers
The new release contains major overhauls and improvements to the code base.
In addition to the previous two papers that were covered by this code base (PFP and SiPP), we also extended the code base to include our latest paper on pruning presented at MLSys 2021:
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
Check out the READMEs for more info.