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SciML/SciMLBook

An MIT course textbook on scientific machine learning covering parallel computing, neural differential equations, and numerical methods.

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This repository is a compilation of lecture notes from the MIT course 18.337J/6.338J on Parallel Computing and Scientific Machine Learning. It serves as a live document continuously updated with the latest methods in scientific machine learning and high-performance computing techniques. The material covers topics including neural ODEs, neural SDEs, differential equations, GPU computing, and scientific simulators, implemented primarily in Julia.

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