zonexo's Stars
ChenguangZhang/sdfibm
Immersed boundary method empowered by signed distance field, and OpenFOAM.
yuhao-yang-cy/a2physics
a set of notes for CIE A-Level physics (9702)
luohancfd/tecplotReaderLegacy
python script to load tecplot binary file
philippemiron/tecplot-binary-read
Tecplot parser to read binary format (.plt)
awaldm/tecreader
A python reader to time series data in Tecplot binary format
FlowModelingControl/flowtorch
flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
A-Sam/DL-ROM
Deep Learning for Reduced Order Modelling - HDM
polatory/polatory
Fast radial basis function interpolation for large scale data
JamesMarshall31/design-of-experiments
A Python Package for intuitive design of experiments with user-friendly analysis of results. The aim is for this package to rival the DOE capabilities of commercial software such as JMP. Currently designs and analysis will be more geared towards investigations following the Response Surface Methodology.
mathLab/BladeX
BladeX - Python Blade Morphing
MathEXLab/PySPOD
A Python package for spectral proper orthogonal decomposition (SPOD).
cwentland0/ae_rom_training
Basic framework for training some simple autoencoder for reduced-order modeling.
Romit-Maulik/CAE_LSTM_ROMS
Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"
erdc/aa_autoencoder_mca
Supporting code for "reduced order modeling using advection-aware autoencoders"
arashsaber/Deep-Convolutional-AutoEncoder
This is a tutorial on creating a deep convolutional autoencoder with tensorflow.
Seratna/TensorFlow-Convolutional-AutoEncoder
This is an implementation of Convolutional AutoEncoder using only TensorFlow
plasma-umass/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
kazutotess/ML-ROM_Various_Shapes
This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes"
mjecke/pyfrontal
A fast method for approximating frontal area projection from an STL mesh for vehicle aero/CFD calculations.
nathanrooy/p-area
The easiest way to compute the frontal/projected area of an STL geometry file. Useful for aerodynamic/CFD applications.
wiewel/LatentSpacePhysics
Towards Learning the Temporal Evolution of Fluid Flow
harsha070/Reconstruction-of-Flows
Super resolution reconstruction in computational fluid dynamics. Proposed a novel autoencoder architecture to improve over existing results.
thunil/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
mdribeiro/DeepCFD
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
LionelAgo/Vortex_AE
Exploit Auto-encoder for exploring and predict flow dynamic
kfukami/CNN-SINDy-MLROM
Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.
opaliss/dmd_autoencoder
Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
JRice15/physics-informed-autoencoders
Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid flow dynamics
cfl-minds/twin_autoencoder
A twin auto-encoder structure for flow prediction with built-in outlier detection and uncertainty prediction
salehisaeed/semiImplicitSlip