Time Series Labeler
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Supervised learning tool for interactive time series analysis, labelling and processing. Plot multiple series at the same time and manage the graphs layout. Labels can be applied to specific time lapses to identify a particular event: these labels can be adopted by classifiers to train an artificial intelligence. Lots of interesting features to speedup the work and perform complex actions. |
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Languages | Source |
Python | GitHub Website |
argmap
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argmap is a simple command line argument parsing library which provides high level features and wide freedom of usage. The user inputs are stored in a map allowing to easily gather, analyze and retrieve them. Different argument types can be defined and nothing is arbitrarily made without giving a choice, even in case something goes wrong: built-in functions can easily report possible errors when needed. |
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Languages | Source |
Go | GitHub GoDoc |
Spotlight Retriever
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Spotlight Retriever fetches the current spotlight wallpapers on Windows 10. The images change almost daily and a lot of time may pass before finding the same one: you better save these wallpapers somewhere if you want to keep them and make your desktop background shine |
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Languages | Source |
Python | GitHub |
MatMP
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Collection of useful multiprocessing approaches to common matrix operations, like the multiplication of two matrices, LU factorization of a square matrix or the calculation of its inverse matrix. The project has been carried out by using the OpenMP library for code parallelization among cores. |
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Languages | Source |
C++ | GitHub |
Numerical Algorithms
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A collection of mathematical and linear algebra techniques I wrote to perform useful (and common) operations to store and manage data structures and solve complex problems (like fast and cheap Fibonacci computation, non-linear system solution and more). Modules have been written in C/C++ and MATLAB/Octave. |
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Languages | Source |
C/C++ MATLAB |
GitHub |
Minesweeper
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Classic Minesweeper game developed using Python and Kivy. Fun guaranteed with three level of difficulty (Easy, Intermediate, Expert) and a fancy graphical interface. Command line tool available for brave (and patient) users. |
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Languages | Source |
Python | GitHub |