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art044_nn_lstm

Public repository containing materials used in LSTM article

atlas

Datasets, code and virtual workspace for the Climate Change ATLAS

bias_correction

python library for bias correction

blog_stuff

Blog and webpagge

calibrar

Funciones Python para la calibración de modelos hidrológicos y diversas funciones objetivo.

cfgrib

A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes

clases

Ejercicios de la asignatura "Hidrología" del Master en Gestión Ingegral de Sistemas Hídricos de la Universidad de Cantabria

climate4r

An R Framework for Climate Data Access and Post-processing

climate4r.udg

Harmonized data access via UDG

cnn_lstm_era

Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modelling"

copula-py

Python Copula Module

copulae

Multivariate data modelling with Copulas in Python

copulas

A library to model multivariate data using copulas.

curso-deep-learning

Curso de Deep Learning desde las bases de Python, Fundamentos del Machine Learning, Fundamentos Matematicos del ML y DL, Redes Neuronales construidas desde cero hasta poner tu modelo a producción con Tensorflow

deepdownscaling

Deep learning approaches for statistical downscaling in climate

deeplearning-az

docker-stacks

Ready-to-run Docker images containing Jupyter applications

eo-learn

Earth observation processing framework for machine learning in Python

esfg_download

Nos permite descargar masivamente mediante WGET los diferentes ficheros netcdf que contienen los servidores de ESGF sobre cambio climático

estadistica

Herramientas estadísticas en hidrología

et

Repositorio con funciones para el cálculo de la evapotranspiración

gesdivah

Trabajo desarrollado durante el proyecto _GEneración Sintética de DIstribuciones de Vegetación para Aplicaciones Hidrológicas_

ghcnpy

Package to import, analyze, and visualize data from the Global Historical Climatology Network - Daily (GHCN-D) Dataset 0

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hydrodata

A portal to access hydrology and climatology data https://hydrodata.readthedocs.io/

hydromt_sfincs

introductiontogeostatistics

Mandatory work for Introduction to Geostatistics course on University of Buenos Aires (UBA)

inverse_distance_weighting

Interpolation in D-dimensional spaces using inverse distance weighted, k-nearest neighbours

jupyter

Jupyter metapackage for installation, docs and chat

jupyterlab-notebooks

JupyterLab notebooks for tutorials and demos.