weiqiang-x Goto Github PK

awesome-machine-learning-fluid-mechanics

Curated list for ML in FM

basicopenfoamprogrammingtutorials

Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.

cfd_bu_eng_me_702

Follow-along Python for online Computational Fluid Dynamics ENG ME 702 @ Boston University

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

computationalmethods

Lab projects of the Computational Methods in Physics course Y2020-21

deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

deepxde

A library for scientific machine learning and physics-informed learning

fractional-step-fdm-staggered-lid-driven-cavity-

homepage

Yunhe Wang's HomePage

homogenization_via_ml

Efficient data-driven learning of homogenized PDEs

intro-numerical-methods

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

lbm-fluid-structure-interaction

Couette flow and Poiseuille flow

learning-object-oriented-python

This repository walks you through the Object Oriented Programming in python. Illustrates real world examples, working codes and going about finding a coding solution.

learning-python-physics-informed-machine-learning-pinns-deeponets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

machine-learning-applied-to-cfd

Examples of how to use machine learning algorithms in computational fluid dynamics.

melanoma-detection-python

A python program to categorize skin lesions as benign or melanoma based on ABCD features.

mit-ml

斯坦福机器学习完整 python 实现

mse2001python

Files for the MSE2001 course Introduction to Python for Materials Engineers

numerical-methods-pdes

Jupyter notebook class notes for Numerical Methods for PDEs

pde-surrogate

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

pinn-examples

Examples implementing physics-informed neural networks (PINN) in Pytorch

pinn_fluidflowmodelling

PINN Fluid Flow Modelling

pinns

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

plot-pictures-tutorial-for-paper

ps-fcn_poster_latex

LaTex Poster for PS-FCN (ECCV 2018)

science-plot

Drawing Comparison Figures in Scientific Research Sapers, with Lines and Bars.

simvascular

A comprehensive opensource software package providing a complete pipeline from medical image data segmentation to patient specific blood flow simulation and analysis.

tom-net_poster_latex

LaTex Poster for TOM-Net (CVPR 2018)

tripods_winter_school_2022

Practicum on Supervised Learning in Function Spaces

weiqiangliu.github.io

Personal page of Weiqiang Liu