yingkaisha Goto Github PK
Name: Yingkai (Kyle) Sha
Type: User
Company: NSF National Center for Atmospheric Research
Bio: Numerical Weather Prediction, Artificial Intelligence
Location: Boulder, CO, USA
Name: Yingkai (Kyle) Sha
Type: User
Company: NSF National Center for Atmospheric Research
Bio: Numerical Weather Prediction, Artificial Intelligence
Location: Boulder, CO, USA
A child repository that contributes to the AI2ES project
The major source code of the paper "Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model"
This repository contains various pieces of code that is shared across different AIML projects, as well as notebooks for blogs
This repository hosts the data pre-processing, post-processing, and verification works for the NSF NCAR MILES Community Runnable Earth Digital Intelligence Twin (CREDIT)
This repo host my own testing and debugging tools for the NSF NCAR MILES Community Runnable Earth Digital Intelligence Twin (CREDIT)
An experimental version of the NSF NCAR MILES Community Runnable Earth Digital Intelligence Twin (CREDIT)
Repository containing scripts associated with ASP deep learning project exploring current and future convection of North America.
Source files of my doctoral dissertation.
A scalable toolbox for ensemble forecast post-processing and verification.
Tools for accessing and processing the operational GEFS forecasts.
A collection of my homework and projects in the graduate-level courses of EOAS, UBC. Effective in 2015-2018.
(Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".
(Semi-official) repository of "Deep-learning-based precipitation observation quality control".
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
气象数据可视化,用matplotlib和basemap绘制micaps数据
(Semi-official) repository of "A hybrid analog-ensemble, convolutional-neural-network method for post-processing precipitation forecasts"
A collection of Jupyter Notebooks.
A collection of my Pytorch code
The official repository of my Ph.D. dissertation.
Template for Latex and/or Pandoc to quickly write reviews and (author) response letters
UBC Dissertation Template for LaTeX
Improving ensemble extreme precipitation forecasts using generative artificial intelligence
The operational routine of GEFS post-processing at WFRT, UBC.
WFRT Dev
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.