Serafina Di Gioia's Projects
Course notes for CS228: Probabilistic Graphical Models.
π Stanford CS 228 - Probabilistic Graphical Models
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
CUDA programming in Julia.
Source code that accompanies The CUDA Handbook.
CUDA Library Samples
cuGraph - RAPIDS Graph Analytics Library
cuML - RAPIDS Machine Learning Library
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU
PyTorch package for the discrete VAE used for DALLΒ·E.
Dask tutorial
This repo contains the scripts for the tutorial activity on Dask-ML for the School 'High Performance Computing for sustainable development' organized by ICTP/CHPC in SA.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Course materials for introductory data science
ELFI - Engine for Likelihood-Free Inference
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The fastai book, published as Jupyter Notebooks
Numerical Solution of PDEs Using the Finite Element Method - 2021 - 2022
Final project for the course of Supervised Learning (MHPC)
Draws simple SVG flow chart diagrams from textual representation of the diagram
It's all in the name
Python-C package for performing bayesian automated inference on data, based on probabilistic graphical models.
A document introducing generalized additive models.π
Converts profiling output to a dot graph.
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.
Python in High Performance Computing
Introduction to tools