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Name: Riccardo Zuliani
Type: User
Company: Ca' Foscari University of Venice - DAIS
Bio: Master CS student at Ca' Foscari University of Venice
Twitter: zulle09
Location: Treviso
Name: Riccardo Zuliani
Type: User
Company: Ca' Foscari University of Venice - DAIS
Bio: Master CS student at Ca' Foscari University of Venice
Twitter: zulle09
Location: Treviso
Given a set of documents and the minimum required similarity threshold find the number of document pairs that exceed the threshold
Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application
CBERTdp is a strategy to speed up the clssification task by clustering BERT embeddings using different methods in order to use K-Means and the Dot-Product to obtaint the prediction results
An implementation of the state-of-the-art Deep Active Learning algorithms
This project has the aim to analise and study some behavoiur under the Fire Incident Dispatch Dataset
Analysis of Weisfeiler-Lehman Kernel using Isomap and Local Linear Embedded manifold learning technique among PPI and SHOCK datasets
Project based on the comparison of the Auction Algorithm and the Maximum Weighted Maching from Boost Library C++
Repository where I share the assignments for the Deep Learning for NLP course of the CS Master Degree of Ca'Foscari University of Venice
The aim of this project is to compare the prestige computation of a given pages graph using an implementation of PageRank, HITS and InDegree
The goal of this project is to implement technique known as “space carving" to reconstruct the shape of a 3D object from multiple photographs taken at known but arbitrarily distributed viewpoints
Analysis and Predction of the Spambase Dataset by Support Vector Machine, Naive Bayes and K-Nearest Neighbors
Retrieve the top-𝑘 documents with respect to a given query by maximal inner product over dense and sparse vectors
Analysis of the Sudoku Game using Constraint Propagation with Back Tracking and Relaxation Labelling
Comparison between the sequential and parallel version of the Graph Triangle Counter problem
Repository where I share all my notes regarding the CS Master Degree of Ca' Foscari University of Venice
Lite version of the following Oxford project: Large-scale Video Classification with Convolutional Neural Networks
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.