Edgar Yesid Rangel Pieschacon (JefeLitman)

JefeLitman

Geek Repo

Location:Colombia

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Edgar Yesid Rangel Pieschacon's repositories

MRCPSP_CesarCastro

Multi-Mode Resource Constraint Programming Scheduling Problem using Genetic's Algorithm

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LTC_Parkinson

A neural network based in the LTC network by Gul Varol https://github.com/gulvarol/ltc to quantify parkinson disease in patients

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PyBuc-IntroRedesNeuronales

Repositorio para el taller dictado de Redes Neuronales en el Meetup de Python Bucaramanga el 23 de Mayo de 2019

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VideoDataGenerator

A custom VideoDataGenerator option similar to the keras.ImageDataGenerator from tensorflow

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2023_APN_Anomalous_Parkinson_Network

Repository containing the source code for Anomalous Parkinson Network

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Biv2LabNN

This repository contains the code of Biv2LabNN developed in the Universidad Industrial de Santander

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CochesRedNeuronalFDD

Practica e implementación de los conceptos de Redes Neuronales para vehiculos autonomos en un terreno dado

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ColCief

Repositorio sobre el proyecto de ColCief

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components

Component infrastructure and Material Design components for Angular

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curso-oTree

Repositorio de uso publico bajo las licencia del MIT en el cual se usara para realizar un trabajo didactico para enseñar oTree

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Curso_Analisis_Datos_Basico_Python

El análisis de datos y Big Data es un campo que está siendo requerido en la actualidad cada vez mayor, la razón de ser para este campo consiste en ordenar, transformar, estructurar y mejorar el manejo de los datos en un ambiente laboral o investigador. Este curso es una introducción a los métodos más famosos para el análisis de los datos.

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emargame

Juegos EMAR LAB

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Intro_Clasificacion_Imagenes

Presentacion y notebook de trabajo para la charla: Introducción a la clasificación de Imágenes con IA's

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lektor-test

This is a practice to make a static site in lektor. This practice was made by Goanpeca.

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Oil-Wells-Analogies

Project based in analogies between oil wells to determine the best conditions for another oil well in the world.

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Waste_prediction_in_Bogota

The following project addresses the problem of residues in Bogotá. An exploration of data, implementation of algorithms and respective conclusions was realized.

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