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NIMH
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Massively parallel training of machine-learning based weather and climate models
This repository describes the process for accessing Destination Earth DT data via the Polytope web service hosted on the LUMI Databridge.
Matlab implementation of MISDc continuous rainfall-runoff model (lumped version)
A Python library for common hydrological functions
Python API to SURFEX. Tool to create offline SURFEX forcing, SURFEX files, running SURFEX and plot results.
User-friendly, commercial-grade software for processing aerial imagery.
A lower-level API for Machine Learning inference in operations
A flexible web-based editor, converter, visualization tool, for geospatial data
Interact with your documents using the power of GPT, 100% privately, no data leaks
Algorithm to gap fill raster (e.g. remotely sensed) data
3D-UNet-LSTM: A deep learning-based radar echo extrapolation model for convective nowcasting
Exploring the use of machine learning to convert a Digital Surface Model (e.g. SRTM) to a Digital Terrain Model
COVID-19 charts for Bulgaria based on data.egov.bg, ECDC, EUROSTAT, NSI data.
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
RAPIDpy is a python interface for RAPID that assists to prepare inputs, runs the RAPID program, and provides post-processing utilities.
Routing Application for Parallel computatIon of Discharge (RAPID)