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DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.

A CPU and peripherals implementing the Gameboy (TM) instruction set and functionality

An Ada 2012 / SPARK 2014 project that implements the NORX authenticated encryption algorithm

An Ada 2012 project that implements reference counting approaches to resource management with an emphasis on safety and usability.

Zero-dependency Go implementation of the Unix getopt function, tested against GNU libc.