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bmi-python

Basic Model Interface for Python

camels_data_sample

Sample data for running neural hydrology examples, and others.

ciroh_workshop_2023

Training material for the "BMI Basics for NextGen" workshop at the 2023 CIROH Training and Developers Conference

cloudinfra

NextGen In A Box: NextGen Framework National Water Model Community Release

data_access_examples

deep_bucket_lab

Model of water in/out of a bucket. Training an LSTM.

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

geeworkshop

global_flood_mapper

This repository contains links to the Global Flood Mapper (GFM). Usage instructions are given here. For more details, please check the journal article titled "Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR."

hydromachine-tutorials

LSTM in SageMaker

hydrosar

icepyx

Python tools for obtaining and working with ICESat-2 data

modis_globalflooddatabase

This repository contains the code used to produce the Global Flood Database and assess changes in population exposed to floods.

neuralhydrology

Python library to train neural networks with a strong focus on hydrological applications.

nsidc-data-tutorials

Jupyter notebook-based tutorials to learn how to access and work with select NSIDC DAAC data.

pysheds

:earth_americas: Simple and fast watershed delineation in python.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorchtutorials

PyTorch tutorials.

sen1floods11

tian-dandan.github.io

training-data-workflows-101

Data Workflows 101