Name: Carlos Emilio Rabazo Márquez
Type: User
Company: Universidad Francisco de Vitoria
Bio: Teacher at Francisco de Vitoria University, among other things ...
Twitter: carlosrabazo
Location: https://www.google.es/maps/place/Universidad+Francisco+de+Vitoria/@40.4397807,-3.8363377,17z/data=!3m1!4b1!4m5!3m4!1s0xd4185cfe04a3987:0x50d6db0ba10cb305!8m2!3d40.4397807!4d-3.8341437?hl=es
Blog: http://www.ufv.es
Carlos Emilio Rabazo Márquez's Projects
prueba-heroku-carlos-rabazo-1
Prueba para parsear un CSV con OpenCSV
Procesar un CSV con OpenCSV en Java con dependencias resueltas con MAVEN
Libro: Python a fondo | Autor: Óscar Ramirez
Python Deep Learning (fork de jorditorresBCN/python-deep-learning)
A collection of projects built on the React library
Self-Hosting Guide. Learn all about locally hosting(on premises & private web servers) and managing software applications by yourself or your organization.
📚 A curated list of papers for Software Engineers
Spring boot H2 in-memory database CRUD example using JpaRepository, Hibernate and Spring Webflux(Reactive programming) (Url: https://spring-boot-h2-crud.herokuapp.com)
A complete guide to start and improve your LLM skills in 2023 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Java implementation of the SWAPI
Implemented Support Vector Machines to predict customer retention rate for a short-term deposit or not based on user centric and demographic variables
Uso de ArrayList como clase genérica y filtro de predicado
Sticky notes Mac app for simple task management
Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries
Códigos del libro "Visión Artificial.Aplicaciones prácticas con OpenCV y Python"
XAIoGraphs (eXplainability Articicial Intelligence over Graphs) is an Explicability and Fairness Python library for classification problems with tabulated and discretized data.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite