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PyEDCR is a package providing error detecting and corrective rules into Python. Given a model, PyEDCR's goal is to recognize when it is incorrect based on a set of conditions and then correct the incorrect prediction.
🔢 💻 Software developed as a logical design course project. It consists of a base converter system, an NZRI encoder, a Hamming encoder and its bit error detector.
Hammer es una aplicación de línea de comandos escrita en Java 8 que codifica cualquier flujo de bytes a un fichero de acuerdo a un código Hamming ampliado (3, 2) sistemático, y luego permite decodificarlo, corrigiendo errores que pudiese haber.
Using Emergent, designed a face classifier based on emotion and gender, as well as a network designed to analyze inhibitory neurons behavior compared to excitation neurons.