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Bayesian Nonparametric Ensemble for Spatiotemporal Processes
Adaptive FNO transformer - official Pytorch implementation
Graph Convolutional Networks for Unstructured Flow Fields
Read satellite altimetry data of Netcdf format
Code and datasets for paper "Assessing Weighted Physics Informed Neural Networks in Ocean Modelling"
This repository is under construction. It will be used to store all necessary function for the downscaling of atmspheric forcing variables.
Basic implementation of physics-informed neural networks for solving differential equations
Project on Bathymetry (Water Depth) Mapping using LandSat satellite imagery
Mini Project on Bayesian treatment of hydrological models
AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
optimized parameters of deep learning using Bayesian optimization
Bayesian, Uncertainty, Neutral Networks, LSTM, time series
Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)
Bayesian LSTM (Tensorflow)
Bayesian neural network with Parallel Tempering MCMC for Stock Market Prediction
A Bayesian Convolutional Neural Network for reconstructing GRACE TWSA signals
python library for bias correction
CCSNet: a deep learning modeling suite for CO2 storage
Chaospy - Toolbox for performing uncertainty quantification.
CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modelling"
Code for the project "Interpreting deep machine learning for streamflow modelling across glacial, nival, and pluvial regimes in southwestern Canada".
This is the codes and examples described in "Mo, S., Lu, D., Shi, X., Zhang, G., Ye, M., Wu, J., & Wu, J. (2017). A Taylor expansion‐based adaptive design strategy for global surrogate modeling with applications in groundwater modeling. Water Resources Research, 53, 10,802–10,823. https://doi.org/10.1002/2017WR021622"
Implementation of 2d finite volume method in MatLab
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.