sayin
Fluid/Thermal systems, CFD, Machine Learning and Optimization.
Oklahoma State UniversityStillwater, OK
Pinned Repositories
1D-finite-diffence-Euler-sover
1d_Finite_Difference_Euler_Solver
1D_gaseous_cooling_matlab
CaNS
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
Data_Driven_Symbolic_Regression
Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used to identify physical process, numerical schemes, and LES subgrid scale (eddy viscosity) turbulence models.
Machine_Learning_CS_5783
Python based machine learning codes developed for CS_5783 course
OpenFOAM-Tutorials
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
Optimization_Data_Assimilation_MAE_5010
Python codes for Data Assimilation course MAE-5010
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Physics_informed_GANs_turbulent_flows
Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution (DNS) fields without solving NS equations numerically.
Pyhton_LES_solver_2D_decaying_trubulence
This repository contains python based LES solver (FDM/spectral) of 2D decaying turbulence.
sayin's Repositories
sayin/Data_Driven_Symbolic_Regression
Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used to identify physical process, numerical schemes, and LES subgrid scale (eddy viscosity) turbulence models.
sayin/Physics_informed_GANs_turbulent_flows
Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution (DNS) fields without solving NS equations numerically.
sayin/Pyhton_LES_solver_2D_decaying_trubulence
This repository contains python based LES solver (FDM/spectral) of 2D decaying turbulence.
sayin/1D-finite-diffence-Euler-sover
1d_Finite_Difference_Euler_Solver
sayin/OpenFOAM-Tutorials
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
sayin/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
sayin/1D_gaseous_cooling_matlab
sayin/CaNS
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
sayin/deep_learning_practice
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
sayin/DNN-based-NIROM
this repository contains code for SlopeNet using several numerical methods
sayin/findiff
A Python package for finite difference numerical derivatives in arbitrary number of dimensions.
sayin/Matlab_Practice
Course materials for the AdvMATLAB Advanced MATLAB for Scientific Computing MOOC on Stanford Online
sayin/Optimization_MATH_4553
Python code for Optimal Control for 1D Convection-Diffusion Equation
sayin/pymc
PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)
sayin/tensorflow
Computation using data flow graphs for scalable machine learning
sayin/Machine_Learning_CS_5783
Python based machine learning codes developed for CS_5783 course
sayin/Optimization_Data_Assimilation_MAE_5010
Python codes for Data Assimilation course MAE-5010
sayin/Deep-Learning-Literature
Collection of Papers and Books concerning Deep Neural Networks
sayin/dlvcnptel
Tutorials for DLVC NPTEL MOOC
sayin/gans-awesome-applications
Curated list of awesome GAN applications and demo
sayin/glyph
a python 3 library based on deap providing abstraction layers for symbolic regression problems.
sayin/keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
sayin/Lambert_problem_matlab
MATLAB code for Interplanetary trajectory design
sayin/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
sayin/ML_CS-5783_Project
sayin/nMOR
sayin/PDE-Net
PDE-Net: Learning PDEs from Data
sayin/Pointwise-Glyphs
Some TCL Glyphs for automating repeated tasks in Pointwise
sayin/SPM
Single Particle Model
sayin/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook