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Official implementation of "Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation"
Plot on map projections (with coastlines and political boundaries) using matplotlib
The Climate Data Toolbox for MATLAB
Python package for easy access to weather and climate data
:earth_americas: Verification of weather and climate forecasts :earth_africa:
Dask Tutorial by Coiled
Automated estimation of trends, discontinuities and nonlinearities in vertical land motion using Bayesian Inference. Framework to detecting change points in GNSS, 'altimetry minus tide gauge' and other geophysical time series.
Code for Sonnewald and Lguensat 2021
FLODIS links estimates of flood-induced human displacements, fatalities, and economic damages to flooded areas observed through remote sensing.
Pytorch Implementation for "Follow-Your-Pose : Pose-Guided Text-to-Video Generation using Pose-Free Videos"
Version of Clawpack for geophysical waves and flows
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
NCTOOLBOX A Matlab toolbox for working with common data model datasets
Toolbox to handle ocean waves datasets
Examples and guides for using the OpenAI API
A Curated List of Python Resources for Earth Sciences
Super-fast modelling of dynamic compound flooding in Coastal Systems
This is the STORM (Synthetic Tropical cyclOne geneRation Model) Model. Input for this model is generated via the STORM data preprocessing scripts, see respective repository. IMPORTANT: Please be aware that these scripts are not maintained and NO support is provided!! For details on the model, see https://doi.org/10.1038/s41597-020-0381-2
This repository contains all the code to create STORM future climate - datasets. Please note that the output of these files are the pre-processing scripts; the next step is to run these through STORM.. IMPORTANT: Please be aware that these scripts are not maintained and NO support is provided!!
These are the scripts to conduct the data-preprocessing for the STORM model. IMPORTANT: Please be aware that these scripts are not maintained and NO support is provided!! Input data is taken from IBTrACS, see https://www.ncdc.noaa.gov/ibtracs/.
These scripts are used to calculate the wind speed return periods from the STORM dataset. IMPORTANT: Please be aware that these scripts are not maintained and NO support is provided!!
Library for ocean wave spectra
A benchmark dataset for data-driven weather forecasting
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
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.