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Rafael Ayllón Gavilán's Projects

aeon icon aeon

A unified framework for machine learning with time series

ai-learning icon ai-learning

Repositorio de mis cursos online relacionados con el machine learning

decimaltoromanconverter icon decimaltoromanconverter

Pequeño programa en Java destinado a poner en práctica un diseño y desarrollo de código que siga los principios SOLID

decision-tree-from-scratch icon decision-tree-from-scratch

This repository hosts a Python implementation of a decision tree classifier built from scratch, without relying on existing machine learning libraries like scikit-learn. Despite being developed independently, our implementation achieves the exact same accuracy as the decision tree classifier provided by scikit-learn.

dictionary icon dictionary

WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Constrained Memory Time Series Classification

fighting-game icon fighting-game

Juego de lucha 2D en Unity con un sistema de combos sólido y moldeable. Es una puesta en práctica del patrón de diseño State. INCLUYE VIDEO DEMO

malenia icon malenia

Machine learning automatization package to ease the launching of experiments and the extraction of results.

physics-simulation icon physics-simulation

Aprendizaje en simulación básica de las físicas de una pelota, que incluye golpeo, rebotes, etc. Realizado en Unity, programado en C#

project-m-a icon project-m-a

Es una White-Box de un escenario multijugador hecho en Unity, con su propio Servidor Dedicado programado desde cero en Visual Studio.

real-time-object-detection icon real-time-object-detection

Entrenamiento de un modelo Cascade Classifier para reconocer en tiempo real una carta de póker. Incluye enlace a video de 6 minutos donde explico paso a paso el trabajo realizado.

sktime icon sktime

A unified framework for machine learning with time series

sktime-dl icon sktime-dl

sktime companion package for deep learning based on TensorFlow

website-sample icon website-sample

Página Web de muestra realizada con J2EE y PhpMyAdmin en su back-end, y con HTML5, CSS3 y Javascript en el front-end. INCLUYE VIDEO DEMO

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