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Ivan E. Ferreira's Projects

algorithms icon algorithms

Random messing with algorithms in several languages

auto-certificate icon auto-certificate

Automatic generation of pdf certificate with 2 value inputs for name and DNI and automatic sending of emails

campo6 icon campo6

Código Generado para la Materia de Campo 6

digitalpetrography icon digitalpetrography

A repository where I upload code that I use for thin section (petrography) analysis using python (matplotlib, opencv, sklearn., tensorflow...)

geological-menagerie icon geological-menagerie

Code in which I try to replicate or do calculations made in geological papers, conferences or random blogs on the internet

homography-alignment-thin-sections icon homography-alignment-thin-sections

A program for aligning (why not?) videos taken with a cellphone in a microscope using homography, the idea was to see the pleochroism of Phlogopite (a mica) in a video taken with my shaky shaky smartphone (moto g6) and my shaky shaky hands

juego-vida-geologia-historica icon juego-vida-geologia-historica

código adaptado para una simulación del juego de la vida con una interacción minimalista del usuario y graficación posterior

miscelanea icon miscelanea

Códigos usualmente recreativos con algún interés científico

petrosr icon petrosr

Repository for testing metrics and models for petrographic image super-resolution

rcan-pytorch icon rcan-pytorch

PyTorch implementation of Image Super-Resolution Using Very Deep Residual Channel Attention Networks (ECCV 2018)

simpleseg icon simpleseg

Simple Machine Learning Based image segmentation tool for the geosciences

sismologia icon sismologia

Seismology, visualization of important earthquakes (3.5 Mw or above) in Colombia

sismos-mesetas-meta-dic2019 icon sismos-mesetas-meta-dic2019

Un código para generar la visualización en 3D de los sismos en el evento telúrico del 24 de diciembre de 2019 y sus correspondientes réplicas

up-ash-classification icon up-ash-classification

Example for the Universidad de Pamplona talk about data science applied to geoscience. Based on Shoji et al 2018 paper about ash classification

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