Serafina Di Gioia's Projects
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
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 Now almost entirely superseded by the models-by-example repo.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
Boost.org python module
This is the practice of Python C extensions.
Python for Engineers and Scientists
Python High Performance – Second Edition, published by Packt
Deep Learning (with PyTorch)
This is an Android project wirtten in kotlin to show a simple image classification application that use Android PyTorch API and trained PyTorch model.
Pytorch Geometric Tutorials
R Wrapper for Tetrad Library
Documentation for R's internal C API