arkenjan Goto Github PK
Type: User
Type: User
Hybrid model of the global hydrological cycle
Hybrid Hydrological modeling using Deep Learning methods
Analyzing hydrologic nonstationarities
LSTM Data and Model for Streamflow Forecasting
Hydrology Machine Learning
Code repo for publication at https://hess.copernicus.org/articles/26/5085/2022/
Streamflow Prediction in (Dammed) Basins (SPDB) with Deep Learning models
CUG水文气象学--函数库
ATLAS/ICESat-2 L3A Inland Water Surface Height
Google Earth Engine interface to aid building training data for classifying ice formation on lake surfaces
Land Cover Change Detection using Satellite Image Segmentation.
This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.
Get Landsat surface reflectance time-series from google earth engine
Classifying Satelite Imagery for Land Use Purposes with Deep Learning
Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"
Rainfall-runoff modeling (Mach-flow project)
Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
Python library to train neural networks with a strong focus on hydrological applications.
Example notebook, showing how to use LSTMs for rainfall-runoff modeling
The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the drivers of land expansion and project landscape dynamics.
Repository related to the deep-learning PCR-GLOBWB surrogate (DL-GLOBWB).
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.