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The University of Texas at Austin
- Austin, TX
Highlights
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hessianaveraging Public
Implementation of Hessian-averaged Newton methods for stochastic optimization in jax
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dino Public
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
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hessianlearn Public
Hessian-based stochastic optimization in TensorFlow and keras
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images Public
Repo for storing images related to code and research
GNU Lesser General Public License v2.1 UpdatedJan 7, 2022 -
MatrixFreeNewton.jl Public
Prototyping of matrix free Newton methods in Julia
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PINNs Public
Forked from maziarraissi/PINNsPhysics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
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Densenet-Tensorflow-1 Public
Forked from taki0112/Densenet-TensorflowSimple Tensorflow implementation of Densenet using Cifar10, MNIST