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applied-deep-learning

Applied Deep Learning Course

barycentric-turbulence

A Matlab code for turbulence Barycentric coordinates and an Ansys Fluent UDF for feature engineering process of Machine learning approach

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

ganbasics

kan-modulus

Kolmogorov - Arnold Network implementation for nVidia Modulus & nVidia modulus sym

neuraloperatorbootcamp

Bootcamp notebooks

nonlinear-cls

An in-house code for linear and nonlinear k-epsilon model

piml-squareduct

Physics-Informed Machine Learning to predict turbulence discrepancies in square duct.

pinns

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

pinns-tf2.x

Physics Informed Neural Networks: a starting step for CFD specialists

tensor-to-image

paper: https://arxiv.org/abs/2110.08037

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

vitgan-heat

A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.