Adonis González (@adions025)

Top repositories

1

Damage_Detection_MaskRCNN

This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect damage on the wind turbine blades.
Python
31
star
2

XMLtoJson_Mask_RCNN

Annotation builder to use segmentation in Mask_RCNN, even if your annotations are rectangular instead of polygon.
Python
15
star
3

Object_Detection_Yolov3

Object detection using Yolo v3 to detect damage on wind turbine blade in RT. Computer Vision project using a drone with a go pro camera.
Python
11
star
4

Tiles_for_classification

Preparation of the dataset before the training, tiling the images, the images have been annotated with labelimg so we have an XML file for each image.
Python
4
star
5

Time-Series

Time series forecasting using lstm and sarima models.
Jupyter Notebook
3
star
6

imbalanced_dataset-

Nivel: Mid-senior (Hackathon). Dado un dataset imbalanceado se genera diferentes modelos predictivos para seleccionar el que maximice el f1-score macro. Deep Learning.
Jupyter Notebook
3
star
7

Tienda_online

Tienda online usando php:pdO, jquery con html y css (own MVC).
PHP
2
star
8

image_classification

Image classification task, base and transfer learning models.
Jupyter Notebook
2
star
9

visualizacion_interactiva

Herramientas de visualización de datos, tableau, flourish, rawgraphs y mockups. Embedidas en páginas de github.
HTML
2
star
10

job_board_api

FastAPI
Python
2
star
11

txt_search_engine_python

A command line driven text search engine using Python 3.6 and the Map Reduce approach. The search take the words given on the prompt and return a list of the top 10 matching filenames in rank order, giving the rank score against each match.
Python
2
star
12

othello-tqs

Game for testing. JUnit, TDD Test-driven development, MockObjects and coverages.
Java
1
star
13

Titanic_dataset

Limpieza y análisis del dataset Titanic
1
star
14

webScrapping

Web scrapping para extracción de datos del estudio de mareas a lo largo de la vida fluvial.
Python
1
star