Complementary Protein Property Control from Weight and Activation Spaces Using ML techniques
This project explores how to steer protein language models toward specific biochemical properties using unsupervised edits in weight and activation spaces.
Note: The code and model's details cannot be shown under NDA.
Python (NumPy, pandas, PyTorch)GitLaTeXResearch

