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Built from the ground up to support gradual typing and deliver responsive incremental checks. Performant on large codebases with millions of lines of Python. Designed to help improve code quality and development speed by flagging type errors interactively in your terminal or live in your favorite editor. Follows the typing standards introduced in PEPs 484, 526, 612, and is being actively developed and constantly improved. Pyre ships with Pysa, a security focused static analysis tool we've built to reason about data flows in Python applications at scale. ...

Scale your models, not your boilerplate with PyTorch Lightning! PyTorch Lightning is the ultimate PyTorch research framework that allows you to focus on the research while it takes care of everything else. It's designed to decouple the science from the engineering in your PyTorch code, simplifying complex network coding and giving you maximum flexibility. PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and...