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Name: Nathan Zhao
Type: User
Company: Stanford University
Bio: applied physics PhD from Stanford University, currently working on AI for self driving cars
Location: Palo Alto
Name: Nathan Zhao
Type: User
Company: Stanford University
Bio: applied physics PhD from Stanford University, currently working on AI for self driving cars
Location: Palo Alto
Collaboration on using CNNs for reading distorted letters common in CAPTCHA systems. Autumn 2017 Stanford CS229 Best Poster in Computer Vision
Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model
CS230 Project in NLP and Deep Learning for Digital News Sentiment Analysis
Building the R2N2 network using tensorflow
finite difference based eigensolving for Maxwell's equations and photonic structures
implementation of fdfd in C++
personal set of FDFD codes used for my research. Much of this has been inspired by Yu (Jerry) Shi and Wonseok Shin
Pure Python implementation of the finite difference frequency domain (FDFD) method for electromagnetics
implementation of finite difference frequency domain equations for Maxwell's equations and the exploration of domain decomposition, specifically Schur complements
Repository for creating a new MOOSE based application - significant changes here are for setting up simulations of multilayer dynamics using the Cahn-Hilliard Model
exploration of MD simulations in MATLAB using the Verlet integrator
simulating complex Newtonian dynamics with the Runge-Kutta algorithm
A functional and efficient python implementation of the 3D version of Maxwell's equations
python code to construct useful atomistic and structural features for machine learning on materials
repo for code published on pythondata.com
some basic algorithms explored on the Yee Grid in FDTD
implementation of determinant quantum monte carlo with some numerical enhancements for low temperature
Stochastic Optimization with rigorous-coupled-wave-analysis (RCWA)
modules for semi-analytic fourier series solutions for Maxwell's equations. Includes transfer-matrix-method, plane-wave-expansion-method, and rigorous coupled wave analysis (RCWA).
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.