Francesco Zanetta's starred repositories
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
SciencePlots
Matplotlib styles for scientific plotting
scikit-gstat
Geostatistical variogram estimation expansion in the scipy style
Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
PlanetaryComputer
Issues, discussions, and information about the Microsoft Planetary Computer
eccodes-python
Python interface to the ecCodes GRIB/BUFR decoder/encoder
pycircular
pycircular is a Python module for circular data analysis
neuralprocesses
A framework for composing Neural Processes in Python
spatio-temporal-GPs
Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
xarray-schema
Schema validation for Xarray objects
climetlab-eumetnet-postprocessing-benchmark
A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
ST_DeepLearning
Code for the paper "A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning"
convCNPClimate
Implementation of convolutional conditional neural processes for statistical downscaling
deepgeostat
Code for the paper - "Bayesian deep learning for spatial interpolation in the presence of auxiliary information"