ancao310 Goto Github PK
Type: User
Type: User
Repository to grant students access to material and links
Slides and lecture notes on how to process large spatial data with R
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
An ongoing repository of data on coronavirus cases and deaths in the U.S.
Crop Yield Prediction with Deep Learning
The Python codes for generating and processing the daily gap-free NDVI dataset in China
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
Example projects and Tutorials demonstrating access to the Refinitiv Data Platform using the Refinitiv Data Library for Python
A curated list of resources focused on Machine Learning in Geospatial Data Science.
This code show the SVAR results from the paper: "Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, vol. 99(3), pages 1053-1069, June.
Multiscale Geographically Weighted Regression (MGWR)
Spatiotemporal resampling methods for mlr3
Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
A Panel Data Toolbox for MATLAB
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
R package implementing tests for hypotheses about measurement error
An open source framework for deep learning on satellite and aerial imagery.
an R interface to Refinitv Eikon and Refinitiv DataStream
This is the Intermediate Data Science Workshop for the 2019 Scientific Python conference in Austin, TX.
Code for the paper "A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning"
"Evaluation procedures for forecasting with spatio-temporal data" -- Mathematics (MDPI) 2021
TorchGeo: datasets, transforms, and models for geospatial data
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.