Marc Girona-Mata's Projects
A deliberately badly programmed implementation of Boids for teaching
Making it far easier to read in and work with large volumes of climate model output from CMIP5/6
Bias correction of mountain daily precipitation simulations from regional climate models using in-situ observations
python library for bias correction
CBL website
Data Science: Principles and Practice, 2019-20
Tools for downloading, parsing and processing climate data from various sources
Implementation of the Convolutional Conditional Neural Process
Using Convolutional Conditional Neural Processes (ConvCNPs) for rainfall runoff modelling and hydrological prediction tasks
Catalogue and update GIS metadata automatically
Implementation of the Grassberger-Procaccia algorithm to estimate the Correlation Dimension of a set of points
Set of tools for hydro analysis
Neural processes for hydrological modelling
Lake as snowfall sensors: automating data post-processing to recover snowfall from lake pressure signal
Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
A beautiful, simple, clean, and responsive Jekyll theme for academics
Python library to train neural networks with a strong focus on hydrological applications.
probabilistic downscaling of daily precipitation for ungauged mountain locations
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A latent text-to-image diffusion model
This repository contains code to create a titled non-orthogonal grid of equally spaced points
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.