Shypd.aiThe largest open index of AI toolsSciMLBook is an open-source educational resource that compiles lecture notes from MIT's course on Parallel Computing and Scientific Machine Learning. It provides methods and applications for high-performance computing and scientific machine learning.
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SciMLBook is a comprehensive, open-source compilation of lecture notes derived from the MIT Course 18.337J/6.338J: Parallel Computing and Scientific Machine Learning. This resource is designed to be a live document, continuously updated with the latest advancements in scientific machine learning methods and high-performance computing techniques. It serves as an invaluable educational tool for students, researchers, and engineers interested in the intersection of parallel computing and AI. The book covers a wide array of topics including performance engineering, parallelism, neural networks, differential equations, GPU computing, numerical methods, and scientific simulators. Hosted on GitHub, it leverages Franklin.jl and Weave.jl for its structure, making it a dynamic and evolving reference.
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