Pinned Repositories
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
yc2647's Repositories
yc2647/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
yc2647/BubbleNet
A novel deep learning architecture for inferring bubble dynamics with physics-informed neural networks
yc2647/Convert-Coordinate
yc2647/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
yc2647/FEniCS_tutorial
FEniCS tutorial prepared for the KITP Active Matter workshop (https://www.kitp.ucsb.edu/activities/active20)
yc2647/hybrid-fem-nn-examples
yc2647/Intro2LensDesignByGeary
My notes from the book Introduction to Lens Design by Joseph M. Geary
yc2647/Introduction-to-Machine-Learning
yc2647/Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
yc2647/parallel-tutorial
Parallel computing in Python tutorial materials
yc2647/pcb_project
yc2647/PhyCRNet
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
yc2647/Physics-Informed-Neural-Networks
Investigating PINNs
yc2647/PIDOC
Physics-Informed Deep Operator Control (PIDOC), a deep learning method for controlling nonlinear chaos
yc2647/PlotNeuralNet
Latex code for making neural networks diagrams
yc2647/poisson_CNN
Codebase for the Poisson CNN paper
yc2647/pymapdl
Pythonic interface to MAPDL
yc2647/RBniCS
RBniCS - reduced order modelling in FEniCS
yc2647/ROM_AE_project
yc2647/side_dataSci
yc2647/SysEn5888
yc2647/SysEn6880