ahmmedshakil
Researcher in Computational Modelling of multi-dimensional, multiphysics issues in Chemical Engineering, at the University of Queensland
Pinned Repositories
absorptionFoam
A version of twoPhaseEulerFoam that includes absorption of methane in seawater
BO_GP
Bayesian optimization based on Gaussian processes
CFD-PC
interThermalPhaseChangeFoam - CFD simulation platform for liquid-vapor thermal phase change flows
HydroSedFoam
A parallelized two-dimensional hydrodynamic, sediment transport, and bed morphology model using OpenFOAM
OF_neuralNetwork
An interfacting library to deploy neural network models in CFD codes easily
porousMultiphaseFoam
A porous multiphase toolbox for OpenFOAM
python-deep-learning
python deep learning notebooks
sedfoam
SedFoam solver for OpenFoam toolbox
SediFoam
CFD--DEM code for sediment transport
twophaseeulersedfoam
ahmmedshakil's Repositories
ahmmedshakil/BO_GP
Bayesian optimization based on Gaussian processes
ahmmedshakil/OF_neuralNetwork
An interfacting library to deploy neural network models in CFD codes easily
ahmmedshakil/python-deep-learning
python deep learning notebooks
ahmmedshakil/AccelerateCFD_CE
AccelerateCFD platform for creating reduced order models from high fidelity CFD
ahmmedshakil/Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
ahmmedshakil/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
ahmmedshakil/DPM_PBE_Mass
Open Source code for the implementation of the MP-PIC-PBE method which is an extension to MP-PIC-FOAM for anti-solvent crystallization
ahmmedshakil/DRLinFluids
ahmmedshakil/Ejector_GPR
OpenAccess sharing of data and GPR code based on research by Knut Emil Ringstad. Article: NA
ahmmedshakil/gpubootcamp
This repository consists for gpu bootcamp material for HPC and AI
ahmmedshakil/Intro_MachineLearning_Workshop
Materials for the Introduction to Linear Regression
ahmmedshakil/lagrangian
Distributed processing, Lagrangian framework for physical and notional particle simulation on tree-based Eulerian framework.
ahmmedshakil/machine-learning-applied-to-cfd
Examples of how to use machine learning algorithms in computational fluid dynamics.
ahmmedshakil/ml-cfd-lecture
Lecture material for machine learning applied to computational fluid mechanics
ahmmedshakil/mlfoam
Thoughts about ML committee for OpenFOAM
ahmmedshakil/pfmFOAM-public
OpenFOAM based developments made by the Department of Particulate Flow Modelling at Johannes Kepler University in Linz, Austria http://www.jku.at/pfm
ahmmedshakil/PGML
This repository contains codes related to our work on physics-guided machine learning.
ahmmedshakil/picFoam
ahmmedshakil/PyADM1
PyADM1: a Python implementation of Anaerobic Digestion Model number 1
ahmmedshakil/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
ahmmedshakil/Python-Bash
ahmmedshakil/python_numericalMethods
Numerical methods implementation in Python.
ahmmedshakil/Quantum_Computing
Learn Quantum Computing with Python and IBM Quantum Experience, published by Packt
ahmmedshakil/Solving-Poisson-s-Equation-through-DL-for-CFD-apllications
ahmmedshakil/Surrogate_Modeling_SWEs
Surrogate model for solving the Shallow Water Equations using deep learning
ahmmedshakil/turbulucid
A Python package for visualising 2D CFD datasets.
ahmmedshakil/TwoPhaseFlow
ahmmedshakil/watersheds_IP
Image-Processing via watersheds
ahmmedshakil/waves2Foam
Mirror of http://svn.code.sf.net/p/openfoam-extend/svn/trunk/Breeder_1.6/other/waves2Foam
ahmmedshakil/WENOEXT
Weighted essentially non-oscillatory library for the framework of OpenFOAM