Name: Roberto Rizzo
Type: User
Company: Utrecht University
Bio: Assist. Prof. in Structural Geology and Geomechanics in the Earth Sciences Department of Utrecht University.
Deep Learning, µCT Image Analysis, Wavelets
Twitter: rob_rizzo87
Location: Utrecht, Netherlands
Blog: https://www.uu.nl/staff/RERizzo
Roberto Rizzo's Projects
A collection of useful scripts, templates, and examples for clusters using SLURM https://slurm.schedmd.com/
Open-source demos hosted on Dash Gallery
Quantification of Fracture Patterns
Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.
Code to segment fracture from images
Code and data for northern England subsurface temperature modelling
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.
2020 version of the Introduction to Geodynamic Modelling course website
Notebooks and code for the book "Introduction to Machine Learning with Python"
📝 A nicely formatted LaTeX preprint template
Segmentation for 4D data
This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.
Practical Python Programming (course by @dabeaz)
Porous Microstructure Analysis (PuMA)
Author's implementation of A deep convolutional neural network for rock fracture image segmentation
Website for Rock Physics Handbook 3rd edition
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Book and code for Think Complexity, 2nd edition
Text and supporting code for Think Stats, 2nd Edition