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Heidelberg University
- Heidelberg
- https://orcid.org/0009-0001-1864-8476
- in/giuseppe-viterbo-418306252
- https://gitlab.com/users/vepe99/contributed
Highlights
- Pro
Stars
A Python library for efficient Bayesian modeling with deep learning
Ray tracing for astrophysical (static) Radiative Transfer in Jax
Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code.
adrn / galstreams
Forked from cmateu/galstreamsMilky Way Streams Footprint Library and Toolkit for Python
differentiable (magneto)hydrodynamics for astrophysics in JAX
📚 Community guides for open source creators
Project for the exam "management and analysis for physics datasets"
Master the command line, in one page
A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an…
Hands-On Graph Neural Networks Using Python, published by Packt
A repository to learn about Flows, mostly from papers
Galaxy morphology with conditional normalizing flows
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
ASTR596: Fundamentals of Data Science at UIUC Astronomy, Spring 2023
Student handbook for the Applied Galactic Dynamics School at the Flatiron Institute (2021)
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
MarcoZenari / LaboratoryOfComputationalPhysics_Y5
Forked from PhysicsOfData/LaboratoryOfComputationalPhysics_Y5tommaso-bertola / LaboratoryOfComputationalPhysics_Y5
Forked from PhysicsOfData/LaboratoryOfComputationalPhysics_Y5Group 2 Project for Laboratory of Computational Physics - Module A