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Francesco Nattino

Francesco Nattino

Senior Research Software Engineer
Netherlands eScience Center
0000-0003-3286-0139
1-12 of 17

ESMValCore

ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.

  • Big data
  • Optimized data handling
  • Visualization
  • + 1
  • (Dockerfile)
  • (HTML)
  • (JavaScript)
  • + 4
54
160

swyft

swyft is the official implementation of Truncated Marginal Neural Ratio Estimation, a hyper-efficient, simulation-based inference technique for complex data and expensive simulators.

  • Bayesian Inference
  • Data Analysis
  • ("Jupyter Notebook")
  • (Python)
5
29

Clustering Geo-data Cubes

Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.

  • Big data
  • geospatial
  • Machine learning
  • + 1
  • ("Jupyter Notebook")
  • (Python)
  • (TeX)
7
8

Introduction to Geospatial Raster and Vector Data with Python

This lesson material shows how practical geospatial data analysis tasks can be carried out using Python

  • Data Analysis
  • geospatial
  • Image processing
  • + 4
3
3

dhdt

A photohypsometric Python library to estimate glacier elevation change via optical remote sensing imagery

  • geospatial
  • Glacier
  • image
  • + 2
  • (Python)
  • (TeX)
2
2

SARXarray

An Xarray extension to process coregistered Single Look Complex (SLC) image stacks acquired by Synthetic Aperture Radar (SAR).

  • Dask
  • InSAR
  • Interferometry
  • + 6
  • (Python)
  • (ReScript)
  • (TeX)
4
1

dCacheFS

Python file-system interface for dCache storages.

  • Data
  • Inter-operability & linked data
  • Optimized data handling
  • + 1
  • ("Jupyter Notebook")
  • (Python)
1
1

diffWOFOST

The python package diffWOFOST is a differentiable implementation of WOFOST models using torch, allowing gradients to flow through the simulations for optimization and data assimilation.

  • Data Analysis
  • deep learning
  • High performance computing
  • + 2
  • (Python)
8
0

Laserfarm

Laserfarm: Laserchicken Framework for Applications in Research in Macroecology. Leverage Laserchicken in distributed fashion to use continental scale point cloud datasets for research.

  • (Dockerfile)
  • ("Jupyter Notebook")
  • (Python)
5
0

rcoins

Identify continuous lines in a spatial network.

  • geospatial
  • Networks
  • R
  • (Python)
  • (R)
4
0

rcrisp

rcrisp provides tools to automate the morphological delineation of riverside urban areas.

  • Data Analysis
  • geospatial
  • R
  • + 1
  • (R)
  • (TeX)
4
0

JupyterDaskOnSLURM

A Dask cluster and a Jupyter server on a SLURM system

  • Big data
  • High performance computing
  • jupyter notebooks
  • + 1
  • (Python)
  • (Shell)
4
0