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Name: Harsha Vaddireddy
Type: User
Company: Oklahoma State University
Bio: Fluid/Thermal systems, CFD, Machine Learning and Optimization.
Location: Stillwater, OK
Name: Harsha Vaddireddy
Type: User
Company: Oklahoma State University
Bio: Fluid/Thermal systems, CFD, Machine Learning and Optimization.
Location: Stillwater, OK
1d_Finite_Difference_Euler_Solver
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
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.
Collection of Papers and Books concerning Deep Neural Networks
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Tutorials for DLVC NPTEL MOOC
this repository contains code for SlopeNet using several numerical methods
A Python package for finite difference numerical derivatives in arbitrary number of dimensions.
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Curated list of awesome GAN applications and demo
Fortran code for gauss elimination method
a python 3 library based on deap providing abstraction layers for symbolic regression problems.
Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
MATLAB code for Interplanetary trajectory design
Python based machine learning codes developed for CS_5783 course
Course materials for the AdvMATLAB Advanced MATLAB for Scientific Computing MOOC on Stanford Online
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Numerical Recipes
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
Python codes for Data Assimilation course MAE-5010
Python code for Optimal Control for 1D Convection-Diffusion Equation
PDE-Net: Learning PDEs from Data
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.