My name is Gram Koski. I am a Mathematics-Computer Science student at UC San Diego.
Making AI Engine Development Easier: Documentation for programmers interested in developing kernels and graph data-flow optimizations for the AMD AI Engine NPU. Includes explanations of key AI Engine concepts and code samples for common machine learning kernels.
Read MoreUsing Lagrangian mechanics to build the N-mass rigid pendulum system and utilizing 4th order Runge-Kutta method for numerical integration.
Read MoreGenerating local Lyapunov exponents, a measure of predictability given specific initial conditions, via a repeated process of Gram-Shmidt orthogonalization. The Lyapunov exponents are then plotted as a heatmap function of certain initial conditions of dynamical systems.
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