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Name: Vladimir Espartaco Robles Bykbaev
Type: User
Company: Universidad Politécnica Salesiana @ViveUPS
Location: Ecuador
Blog: vladimirrobles.info
Vladimir Espartaco Robles Bykbaev's Projects
ann-basic-example
A basic example of using ANN in Python with sklearn
argentinaenpython.com
Sitio web oficial del proyecto "Argentina en Python"
berryconda
Conda based Python distribution for the Raspberry Pi and TinkerBoard OS
busquedas-ia
A friendly (Spanish) tutorial about of search strategies commonly used in artificial intelligence: breadth-first search, uniform cost, deep-first search, A*, and hill climbing.
capitulo2-ia
Capítulo 2 - Inteligencia Artificial
descenso-por-gradiente
This repository presents a brief review of the gradient descent method using Jupyter Notebook (in Spanish).
digit-recognition-python
A simple example to recognize digits with skit learn
fundamentos-vision-artificial-doctoradocc
Repositorio con recursos relacionados al módulo Visión Artificial del Doctorado en Ciencias Computacionales de la Universidad Politécnica Salesiana
helloworld-pygame
A simple repository that shows how to create an animation using Pygame.
latex
Tutorial: Una introducción corta a LaTeX y su importancia
opencv-tinker-board
How to install OpenCV 4.2 with Python (Berryconda) and C++ Support in Tinker Board
opencv4.2-android-studio-simple-app
This simple app shows how to include OpenCV 4.5 native code to perform image digital processing in C++. The app presents a simple binarization process in HSV color space for this example.
shape-recognition-ann
A simple example to implement a shape recognizer using a MLPClassifier from Scikit-Learn
simulation
A biref introduction to simulation in Python (Discrete Events) - Spanish
taller-investigacion
Material del Taller de Investigación: Levantamiento de información en Educación Especial
yolov5-and-yolov8-object-detection-opencv-c-
This repository contains code examples demonstrating object detection and classification, using YOLOv5 and YOLOv8 in native C++ applications with OpenCV. It also includes a Google Colab notebook for converting YOLO models to the Open Neural Network Exchange (ONNX) format.
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