Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets will transform your code.

Abstract: As the scale of deep learning models continues to expand, computational cost has become a major challenge. Model parallelism techniques, especially pipeline parallelism, have been shown to ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.