rbonazzola
MSc in Physics, now a PhD student at CISTIB (cistib.org) working in imaging genetics.
University of LeedsLeeds, UK
Pinned Repositories
CardiacCOMA
CardiacMotionGWAS
CardiacUPE
CardioMesh
CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
cloudtools
Scripts for working with Google Cloud Dataproc service
coma
Convolutional Mesh Autoencoders for Generating 3D Faces
GWAS_pipeline
Repository with code to perform GWAS, including the preprocessing and postprocessing steps.
LEARN_workshop
rbonazzola's Repositories
rbonazzola/LEARN_workshop
rbonazzola/GWAS_pipeline
Repository with code to perform GWAS, including the preprocessing and postprocessing steps.
rbonazzola/CardioMesh
rbonazzola/CardiacCOMA
rbonazzola/CardiacMotionGWAS
rbonazzola/CardiacUPE
rbonazzola/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
rbonazzola/coma
Convolutional Mesh Autoencoders for Generating 3D Faces
rbonazzola/CompBio
rbonazzola/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
rbonazzola/GWAS_BGEN
This file introduce the method of running GWAS on UK Biobank BGEN files, harmonization and imputation of GWAS summary result and integrating measurements across tissues.
rbonazzola/holoviews_tutorial
Intro to HoloViews training materials
rbonazzola/PythonParaEconomistas
Acá vamos a ir subiendo el código a usar en las clases sincrónicas.
rbonazzola/Imaging-genomics
rbonazzola/JournalPaperGWAS
rbonazzola/LV-GWAS-ShinyApp
rbonazzola/manuscript_gwas_cardiac_morphology
rbonazzola/mlflow
Open source platform for the machine learning lifecycle
rbonazzola/PythonParaEconomistas2022
Este repositorio será utilizado para compartir el código que se usará en las clases sincrónicas y los trabajos prácticos. Para todo el resto del material del curso pueden consultar los links que les dejamos en la nota de Slack.
rbonazzola/PythonParaEconomistas2023
Este repositorio será utilizado para compartir el código que se usará en las clases sincrónicas y los trabajos prácticos. Para todo el resto del material del curso pueden consultar los links que les dejamos en la nota de Slack.
rbonazzola/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
rbonazzola/pytorch_coma
Reimplementation of CoMA to be used for dimensionality reduction of cardiac meshes.
rbonazzola/QTL_to_PredictDB
rbonazzola/RayTune
rbonazzola/repo-prueba
rbonazzola/surgeon-pytorch
A library to inspect and extract intermediate layers of PyTorch models.
rbonazzola/SyntheticMeshGeneration
Code to generate dynamic 3D meshes with a periodical motion, using a template spherical mesh and a perturbation based on spherical harmonics.
rbonazzola/ukbb_cardiac
Some code for processing and analysing UK Biobank cardiac MR images.
rbonazzola/ukbb_parser
A Python module for loading phenotypic and genetic data from the UK Biobank.
rbonazzola/ukbrest
ukbREST: efficient and streamlined data access for reproducible research of large biobanks