msetzu Goto Github PK
Name: Mattia Setzu
Type: User
Bio: Computer Science is about two things: creativity and rigor. I got at least one right.
Location: Pisa
Mattia Setzu's Projects
aalgorithms
ALG2 course algorithms
about
advanced-programming
Java project for the advanced programming course: https://www.di.unipi.it/it/didattica
alp-formulary
Brief formulary for the Parallel and Distributed Algorithms course @unipi2017
autotraino
Minimal wrapper library for AutoML on tabular datasets. Currently based on Autogluon.
codeontology.github.io
project webpage
datati
A library all'avanguardia for tabular dataset loading and preprocessing.
dice
Generate Diverse Counterfactual Explanations for any machine learning model.
fairbelief
Interpreting masked language models beliefs and evaluating their fairness
gentree
A Decision Tree induction algorithm
glocalx
Generating global explanations from local ones
google-scholar-pls-stop
Tired of receiving google scholar recommendations for papers I've already read, this tool filters duplicate and already-read papers
gosdt
GOSDT - Generalized Optimal Sparse Decision Trees
imwheel-utils
Utilities for the imwheel scrolling tool
intro_to_ds_and_ml
Course material for the Ph.D. course held at University of Macerata.
lore
LOcal Rule-based Exlanations
mno
oh-my-trees
Library for hyperplane-based Decision Tree induction, which allows you to induce both Univariate (e.g., CART, C4.5) and Multivariate (OC1, Geometric) Decision Trees.
pgm-index
🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
pivottree
polylearner
Learning with polyhedral sets through parametric systems
pygm
🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage
qmk_firmware
Open-source keyboard firmware for Atmel AVR and Arm USB families
rule-relevance-score
A scoring system for explainability
triplex
univariate-vs-multivariate-decision-trees
Are univariate decision trees really better than multivariate ones? Investigating correlation and dataset bias
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