This repository aggregates academic papers, code implementations, and resources covering Neural ODEs, Neural SDEs, Neural CDEs, neural operators, and generative models built on continuous-time dynamics such as normalizing flows and score-matching SDEs. It also documents the reverse relationship: applying deep learning to solve and discover differential equations in scientific computing contexts.