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this is a radar retrive radar wind rep
Distributed machine learning application for ship route and ETA prediction
A Barotropic Primitive Equation Model
Cloud System Classification Module (Convective Stratiform separation, and Storm Mode classification)
Ship Routing Algorithms for Just-In-Time and Energy Efficient Voyages. By using a genetic algorithm we strive the lowest possible fuel consumption while at the same time keeping the scheduled deadlines. Two different specifications of the algorithm are available, one with a constant engine power, one with an over the route changeable engine power.
PyTorch implementation of paper: Generating the Cloud Motion Winds Field from Satellite Cloud Imagery Using Deep Learning Approach (IGARSS2021).
Convolutional LSTM for Precipitation Nowcasting
Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity
Project "Copernicus Marine Services for Energy optimized Cargo Ship routing", summer semester 2021
Analysis satellite images of typhoons in deep-learning (CNN). This repo is written in Python3.
A deep convolutional neural network for surface precipitation retrievals
A spherical CNN for weather forecasting
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
python package to open GPM-DPR files into xarray to leverage xarray perks
Satellite based fog and low stratus detection and nowcasting
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
source code from the book Genetic Algorithms with Python by Clinton Sheppard
Code to download and manage the GPM IMERG precipitation dataset
Global Precipitation Mission (GPM) API to download and read data lazily into xarray.
Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"
Lagrangian Cloud Microphysics model
Exploring coupling the distributed Large Eddy Simulation and Weather Research and Forecasting model
Analysis of Cold Pools
Uses machine learning to predict convective initiation and decay from satellite data.
Machine learning emulators for microphysical processes.
An idealised convective-scale forecast-assimilation framework
Spatio-temporal Typhoon Trajectory Modeling based on MOST (Moving Objects Spatial Temporal ) Model
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.