jiangnguyen Goto Github PK
Type: User
Type: User
Spectral Neural Operator
Q. Zhang, Q. Yuan, C. Zeng, X. Li, and Y. Wei, โMissing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network,โ IEEE TGRS, 2018.
Super-Resolution of Multispectral Multiresolution Images from a Single Sensor
A coupled Saint Venant Equations (SVE)- Richards Equation solver
Semi-distributed Rainfall-Runoff model, using Graph Neural Networks to model an entire watershed with around 500 catchments
Source code for "Generating 1 km spatially seamless and temporally continuous air temperature based on deep learning over Yangtze River Ba-sin, China"
post
R package that estimates water level time series from satellite altimetry data
Tutorials regarding towards data science
U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow
Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open source, python based research code for use in parametric, non-deterministic computational studies. UQPCE utilizes a non-intrusive polynomial chaos expansion surrogate modeling technique to efficiently estimate uncertainties for computational analyses. The software allows the user to perform an automated uncertainty analysis for any given computational code without requiring modification to the source. UQPCE estimates sensitivities, confidence intervals, and other model statistics, which can be useful in the conceptual design and analysis of flight vehicles. This software was developed for the Aeronautics Systems Analysis Branch (ASAB) within the Systems Analysis and Concepts Directorate (SACD) at NASA Langley Research Center to study potential impacts of uncertainties on the prediction of ground noise generated from commercial supersonic aircraft concepts.
Source code for the soil moisture validation good practice paper
This repository provides a way to extract water bodies using deep learning methods in GEE.
A benchmark dataset for data-driven weather forecasting
when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/10.1016/j.cma.2022.115346
Shuffled Complex Evolution (SCE-UA) in MATLAB
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.