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hpinn

hPINN: Physics-informed neural networks with hard constraints

hpm

Hidden physics models: Machine learning of nonlinear partial differential equations

huracan

Open source, 0-dimensional, object-oriented airbreathing engine modelling package for preliminary analysis and design of airbreathing engines, divulgation and educational purposes.

investigating_mitigating_failure_modes_in_pinns

This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"

jigsaw-geo-python

Python bindings for JIGSAW(GEO): an unstructured mesh generator for geoscientific modelling.

keras

Deep Learning for humans

labelfree-dnn-surrogate

Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning

lax-wendroff-finite-volume

Solving hyperbolic PDEs using the Lax-Wendroff Scheme and a finite volume method.

lbm_applications

LBM Python codes

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

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

levelsetswirlfemandfvm

Level set modeling of multi-phase flow in a velocity field using the finite element and finite volume methods

lid-driven-cavity-with-fvm

Fluid flow solver using the SIMPLE algorithm

lid-driven-flow-cfd-simulation

Python code for solving Napier Stokes equation using finite volume method in the scenario of Lid driven flow. The quasi Rhie Chow algorithm has been implemented to arrive at the solution.

machine-learning

邱锡鹏老师《神经网络与深度学习》一书参考视频及补充材料（非官方），主要是依据邱老师书籍的编排顺序整理了近几年李宏毅老师以及“白板推导系列”的所有内容，视频内容几乎涵盖邱老师书中的所有知识。另外也补充了自己在学习过程中接触过的一些好的资料。还在调整与更新中ing...

machine_learn_reading_notes

关于算法、机器学习的一些读书笔记，思维导图

mahesh

Lid Driven Cavity flow code in python

makeyourownneuralnetwork

Code for the Make Your Own Neural Network book

masterthesis

Discretization methods for porous media flow problems.

math607e

Class Project: Simulation of electromagnetics diffusion in geophysics (Time-Domain Electromagnetics (TDEM))

matlabfinitevolumes

MATLAB codes for thesis work

mesh2d

MESH2D is a MATLAB-based Delaunay mesh generator for two-dimensional geometries.

mine_pytorch

MINE: Mutual Information Neural Estimation in pytorch (unofficial)

mth_4115

Numerical Analysis, 2nd Edition (9780321783677): Timothy Sauer. Course notes and code assignments.

multiscalepinns

my-git

Individual collecting material of learning git（有关 git 的学习资料）

navier-stokes-numerical-solution-using-fdm-fvm-lbm-solver-python-scripting

Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Me

neatmesh

📐🔍 Mesh quality inspector

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural-pde-solver

neuralgenetic

Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using NumPy.