yc2647

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

BubbleNet

A novel deep learning architecture for inferring bubble dynamics with physics-informed neural networks

Convert-Coordinate

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

FEniCS_tutorial

FEniCS tutorial prepared for the KITP Active Matter workshop (https://www.kitp.ucsb.edu/activities/active20)

hybrid-fem-nn-examples

Intro2LensDesignByGeary

My notes from the book Introduction to Lens Design by Joseph M. Geary

Introduction-to-Machine-Learning

Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

parallel-tutorial

Parallel computing in Python tutorial materials

pcb_project

PhyCRNet

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

Physics-Informed-Neural-Networks

Investigating PINNs

PIDOC

Physics-Informed Deep Operator Control (PIDOC), a deep learning method for controlling nonlinear chaos

PlotNeuralNet

Latex code for making neural networks diagrams

poisson_CNN

Codebase for the Poisson CNN paper

pymapdl

Pythonic interface to MAPDL

RBniCS

RBniCS - reduced order modelling in FEniCS

ROM_AE_project

side_dataSci

SysEn5888

SysEn6880