Mauro Méndez Mora's Projects
This repository contains an app that changes dollars to colones and colones to dollars. There can be changes to add more currencies. This project is made following the short-homework given in Mobile Application Development course on Costa Rica´s Technological Institute imparted by Andrei Fuentes.
First experimentation with Astro frontend framework
The author's officially unofficial PyTorch BigGAN implementation.
This repo contains the code for perform clustering analysis on image-based features extracted from a CNN.
This project is meant to work as a template for a binary CNN classification problem
This project is meant to work as a template for a binary CNN semantic segmentation problem.
Este repositorio contendrá la aplicación web realizada para el curso de Administración de Proyectos del Instituto Tecnológico de Costa Rica. Creado por el grupo Trifuerza.
Extremely fast and robust screen capture on Windows with the Desktop Duplication API
This project is an improvement of Flappy Bird game, programmed by Andrei Fuentes, teacher oF Mobile Application Development subject on Instituto Tecnológico de Costa Rica.
Companion code to my O'Reilly book "Flask Web Development", second edition.
This repository will contain the code for an implementation of the Lucas-Kanade algorithm on MATLAB.
Repo for my profile
Este repositiorio contiene dos proyectos en Android, los cuales trabajan sobre el API de Google Maps
Nadaria is an upcoming blog that showcase the experiences of two friends living in UAE
This reposiory contains the Artificial Intelligence's short-project #2 and #3. Course imparted on Instituto Tecnologico de Costa Rica by Juan Esquivel. On this project we will explore search algorithms to solve path-finding problems.
Este repositorio contiene los datos para el proyecto corto 1 del curso de Inteligencia Artificial. Se encarga de generar muestras a partir de la poblacion de Costa Rica para las votaciones presidenciales.
Repository for Programming Assignment 2 for R Programming on Coursera
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
Semantic segmentation models, datasets and losses implemented in PyTorch.