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Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations
Input files for DTW code, derived from NGSIM data set
A program that solves the eeg forward problem using a finite element approach and an analytic approach. The solutions are then compared.
Radiative transfer code Dusty
MatLab code used to visualize electric field data gathered from Discrete Dipole Approximation (DDA) simulations. The data can be plotted as 2D components, 2D magnitude, and 2D + 3D vector fields.
A simple LaTeX package for Mathematical Contest in Modeling (MCM)
Optical Tweezers Molecular Motor Simulation
Electron-Driven Discrete-Dipole Approximation (e-DDA): Extension of the optical DDA to include an electron beam source to simulate experiments in electron energy-loss spectroscopy (EELS).
Electron-driven discrete dipole approximation code
Using Computer Vision (and Machine Learning) to detect edges in images
Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
EEGSourceSim: A framework for realistic simulation of EEG scalp data using MRI-based forward models and biologically plausible signals and noise
A package to calculate ensemble averaged waves in heterogeneous materials. The focus is on wave propagation, scattering, and reflection, from particulate and porous materials.
finite difference based eigensolving for Maxwell's equations and photonic structures
Monte Carlo Simulations with MCML and Deep Learning of Ground Truths with TensorFlow.
An Open-Source Python Library for the development of algorithms for 2D Electromagnetic Inverse Scattering Problems.
This study-oriented-project was done as part of my academic curriculum at BITS Pilani.
Scattering of a plane wave on a sphere - 2D and 3D models
MATLAB code for computing the T-matrix and T-matrix derivatives of an ellipsoidal electromagnetic scattering particle.
Numerical methods for solving electromagnetic wave scattering problem
2D FDTD Scattering of EM waves on dielectric objects.
All of our Code for our Capstone project from start to finish
Embedding Deep Learning in Inverse Scattering - Code
ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
A suite of tools for optimizing the shape and topology of electromagnetic structures.
Electromagnetic Python
Standard python library for computational electromagnetics
Simple implementation of the invariant embedding technique for calculating the T-matrix for a single monochrome wave scattering from a single object. See B.R. Johnson, "Invariant imbedding T matrix approach to electromagnetic scattering", Applied Optics, vol. 27 (1988) p. 4861.
C++ translation from EMTA-BPA Fortran using fable
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.