Gabriele Masina (masinag)

masinag

Geek Repo

Company:University of Trento

Location:Trento, Italy

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Gabriele Masina's starred repositories

react-supabase-auth-provider

React Auth Provider with Context & Supabase

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matrita

Per creare i libretti della Messa del Matrimonio con LaTeX - Catholic wedding Mass booklets with laTeX.

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TheoryConsistentDecisionDiagrams

Official repository of the theorydd python package

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LazyVim

Neovim config for the lazy

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professional-programming

A collection of learning resources for curious software engineers

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lean4

Lean 4 programming language and theorem prover

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horrifying-pdf-experiments

:syringe: Stuff which works in Chrome and maybe Acrobat and Foxit.

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DecisionDiagrams

My work on DD during my project cource

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modern-cpp-features

A cheatsheet of modern C++ language and library features.

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aocla

A small stack based, written to bring Advent of Code 2022 Day 13 puzzle to the extreme consequences

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reverse-interview

Questions to ask the company during your interview

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advent-of-code-setup

Automate input downloads and solution creation for Advent of Code

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practical-fm

A gently curated list of companies using verification formal methods in industry

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awesome-italia-remote

A list of remote-friendly or full-remote companies that targets Italian talents.

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kademlia

Assignment for the course on Distributed Systems 2 and Simulation and Performance Evaluation

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Transpiler-ASD-UniTN

A transpiler that translates pseudocode from Alberto Montresor book and slides in to python.

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cppbestpractices

Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

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NvChad

Blazing fast Neovim config providing solid defaults and a beautiful UI, enhancing your neovim experience.

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compdb

The compilation database Swiss army knife

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pkget

Install packages on any Debian based Linux distro without root or installing it on the entire system

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trinet-identity-attribute-recognition

A multi-task learning approach to person re-identification and attribute recognition. Written in PyTorch, trained and evaluated on the Market-1501 dataset.

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hpc4ds

Project for the course on High Performance Computing

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