Sealbook / Open source / Recursos de aprendizaje y listas

SciML/SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

differential-equationsgpu-computinglecture-notesneural-networksneural-odeneural-sdenumerical-methodsparallelismperformance-engineeringscientific-machine-learning

GitHub ↗Sitio ↗

Licencia y mantenimiento

Sin licencia indicada: por defecto nadie puede reutilizar el código. Pregunta a los autores antes de usarlo en un producto.

Último cambio de código hace 2 días.

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