Ping-Hsuan

Ping-Hsuan's Stars

• leedrake5/Russia-Ukraine

  Equipment Loss Tracking

  Language:R627322425

• Nek5000/Nek5000

  our classic

  Language:Fortran37745361241

• Nek5000/nekRS

  our next generation fast and scalable CFD code

  Language:C++2692122471

• LLNL/libROM

  Model reduction library with an emphasis on large scale parallelism and linear subspace methods

  Language:C++201236036

• CEED/Laghos

  High-order Lagrangian Hydrodynamics Miniapp

  Language:C++181363959

• NVIDIA/TorchFort

  An Online Deep Learning Interface for HPC programs on NVIDIA GPUs

  Language:C++14910615

• PM25/SimplePlus-BeamerTheme

  🍃 SimplePlus - A simple & clear latex beamer theme.

  Language:TeX1434219

• LLNL/pylibROM

  Python interface for libROM, library for reduced order models

  Language:Python551352

• LLNL/LaSDI

  Language:Jupyter Notebook45911

• LLNL/GPLaSDI

  Language:Python31713

• Nek5000/NekExamples

  Examples for Nek5000

  Language:Python30157157

• LLNL/gLaSDI

  Language:Python28910

• landajuela/cardiac_challenge

  Code repository for machine learning for cardiac electrophysiology

  Language:Jupyter Notebook174040

• Nek5000/NekROM

  Model-Order Reduction Framework for Nek5000

  Language:Fortran134473

• Nek5000/NekMatl

  Language:Matlab11608

• landajuela/cardiac_ml

  Machine Learning for Cardiac Electrical Imaging

  Language:Python7100

• demetresfytanides/Nek5kExtra

  Personal Library of tools that I have created for Nek5000. See the README in each folder for details.

  Language:Fortran6002

• alucantonio/AlpineGP

  Symbolic regression of physical models via Genetic Programming.

  Language:Python3351

• alucantonio/dctkit

  A toolkit for discrete calculus.

  Language:Python33152

• alucantonio/MLST2024_SRDEC

  Scripts to reproduce the results of the paper "Discovering interpretable physical models using symbolic regression and discrete exterior calculus".

  Language:Python1100

• kent0/Flow

  Language:MATLAB1101

• Ping-Hsuan/Nek5000

  Home of the Nek5000 source code

  Language:Fortran1000