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Name: Yun Zhang
Type: User
Bio: Ocean modeler/ Data scientist
Location: Stanford, CA
Name: Yun Zhang
Type: User
Bio: Ocean modeler/ Data scientist
Location: Stanford, CA
a python code to simulate 2D (x,z) flow problem with the modeling of velocity field and passive scalar field under tidal and inflow boundary conditions.
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
Animations for multiple test cases applying the latest SUNTANS model
a hydrostatic model in spherical-sigma-pressure coordinate with complete Fortran90-based program packages has been proposed and tested by several applications including the simulations of atmospheric motions and passive gas migration under different scenarios.
Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
Applied different regression models to prediction the sale price for houses in Boston region
Reviewed customer purchase data in different categories and applied unsupervised learning techniques to discover the patterns and natural segments that the customers fit into.
Investigated factors that affect the likelihood of charity donations being made based on real census data and developed a naive classifier to identify possible donors.
Data Science Resources (Mostly Free)
Preprocessed sample images and trained a convolutional neural network to develop a classifier for images from the CIFAR-10 dataset.
Model assisted random sampling.
A list of papers on Generative Adversarial (Neural) Networks
Applied reinforcement learning to design a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
A Speaker Recognition System
The SUNTANS model source code
The latest version of SUNTANS model with vegetation, sediment transport, subgrid, culvert and hybrid vertical coordinate.
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Applied supervised learning techniques to predict the survival rate of travellers on Titanic
Commented (but unaltered) version of original word2vec C implementation.
Analyzed and visualized the dataset for the Zillow data competition on Kaggle, applied different regression models to predict errors in Zillow home value prediction, and identified the important features that induce prediction errors to improve the original algorithm.
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.