Serafina Di Gioia's repositories
SMR3872-Colombia
Repository of the lecture material for the 3rd Latin American Introductory School on Parallel Programming and Parallel Architecture for HPC
SMR3894-Python-Tutorials
In this repo, there are the files associated to the tutorial activity planned for the 10th Workshop on Collaborative Software development organised at ICTP in November 2023.
Tutorial-DL-for-MP
In this repo I collect the jupyter notebooks used for the tutorial on DL classifier for the ICTP/IAEA workshop on AI for medical physics
2012-01_Stanford_CS228
Probabilistic Graphical Models
AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
cugraph
cuGraph - RAPIDS Graph Analytics Library
cuml
cuML - RAPIDS Machine Learning Library
Dask-tutorial-SA
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.
elfi
ELFI - Engine for Likelihood-Free Inference
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
manim
A community-maintained Python framework for creating mathematical animations.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
pytorch-Deep-Learning
Deep Learning (with PyTorch)
Pytorch-on-Google-Cloud
In this repo I show some simple deep learning model tutorial based on Pytorch and using Google TPUs.
requests
A simple, yet elegant, HTTP library.
scikit-learn
scikit-learn: machine learning in Python
tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
TourOfJulia.jl
A tour of the Julia programming language
tsfresh
Automatic extraction of relevant features from time series:
tsl
tsl: a PyTorch library for processing spatiotemporal data.
tutorials
PyTorch tutorials.
tutorials-1
Tutorials for the usage of the Uni.lu HPC platform
xla
Enabling PyTorch on Google TPU