swayli94

awesome-implicit-representations

A curated list of resources on implicit neural representations.

PINNpapers

Must-read Papers on Physics-Informed Neural Networks.

siren-pytorch

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

CLUB

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

adflow

ADflow is a finite volume RANS solver tailored for gradient-based aerodynamic design optimization.

abqpy

Type Hints for Abaqus/Python Scripting

pylbm

Numerical simulations using flexible Lattice Boltzmann solvers

pygeo

pyGeo provides geometric design variables and constraints suitable for gradient-based optimization.

CoDiPack

Fast gradient evaluation in C++ based on Expression Templates.

xfoil-python

Stripped down version of XFOIL as compiled python module

AeroPy

Python interface for XFOIL. The objective of this library is to be able to be able to call XFOIL from Python iteratively for any simulation in a total of 4 lines total.

Locally-Adaptive-Activation-Functions-Neural-Networks-

Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawaguchi, G E Karniadakis, Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 20200334, 2020. (http://dx.doi.org/10.1098/rspa.2020.0334)".

ALDESIA-Discrete-adjoint-linear-advection-solver

A toy program using Discrete-Adjoint method

pyxfoil

Run XFoil from within Python and work with results.

FENIAX

install-abaqus-on-ubuntu

the tutorial of installing abaqus2023 on ubuntu 20.04/22.04 and link with ifort for user subroutine.