This is your work, valued

Cambridge, MA

Christopher Rackauckas

Elite
@ChrisRackauckas

Applied Mathematics Instructor at MIT, researching numerical differential equations and their applications to scientific machine learning (SciML)

universal_differential_equations. Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

239

ParallelDataTransfer.jl. A bunch of helper functions for transferring data between worker processes

121

JupyterSite. Create a Site from Jupyter Notebooks

97

ScientificCareerResources. A set of templates for scientific career building resources.

32

PINN_Quadrature. Studying quadrature methods applied to PINNs

27

VectorizedRoutines.jl. Familiar vectorized routines from R/Python/MATLAB, plus some more.

26

TBEEF. TBEEF, a doubly ensemble framework for recommendation and prediction problems.

20