Opensource: The magic power of AI research.

PyTorch Lightning has its humble beginnings as a project that I developed during the first few years of my Ph.D. at NYU CILVR and later at Facebook AI Research. At NYU it gained the powers of rapid iteration and standardization that makes Lightning a pleasure to work with today -- it standardizes AI research code so everyone's code can be formatted the same way, and thus it becomes more readable and reproducible. At FAIR it learned how to train massive neural networks across hundreds of GPUs. But had I remained the only developer of the project it would be nowhere near where it is today as a quickly rising favorite for deep learning research. Our first non-facebook contributor Jirka, forced much-needed formatting and structuring to the internals.