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Hessian-based stochastic optimization in TensorFlow and keras

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Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

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Prototyping of matrix free Newton methods in Julia

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TAMES website

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Simple Tensorflow implementation of Densenet using Cifar10, MNIST

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Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

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Repo for storing images related to code and research

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Personal website

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