Serafina Di Gioia's Projects
The Julia Programming Language
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
In this repo there are instructions to set and run from remote Jupyter notebooks on computing nodes of HPC clusters
A free and open source C++ library for Discrete Approximate Inference in graphical models
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
A community-maintained Python framework for creating mathematical animations.
Matrix SDK for React Javascript
Github Repo for the DL course
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.
first project for MHPC master
Granger causality discovery for neural networks.
Collection of jupyter notebooks for demonstrating software.
The fundamental package for scientific computing with Python.
Samples for Intel oneAPI toolkits
Partition MCMC for DAGs
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
Practical Python Programming (course by @dabeaz)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
python interface to bnlearn and other probabilistic graphical model libraries
A pythonic python wrapper around FFTW
[HELP REQUESTED] Generalized Additive Models in Python