José Pérez Rodríguez (josperrod9)

josperrod9

Geek Repo

Company:@empathyco

Location:Seville, Spain

Github PK Tool:Github PK Tool

José Pérez Rodríguez's repositories

Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0

gpt-researcher

GPT based autonomous agent that does online comprehensive research on any given topic

License:MITStargazers:0Issues:0Issues:0

TFG-DENSENET

This project aims to develop an artificial intelligence system that can estimate hand pose from 2D images. The system utilizes deep learning techniques to accurately detect and predict the position and orientation of a hand in an image.

Language:PythonStargazers:0Issues:0Issues:0

IMDb-project

This project has the objective to build a Search API for IMDb dataset (https://datasets.imdbws.com/)

Language:JavaLicense:MITStargazers:0Issues:0Issues:0

search-academy-project

This repository contains the first exercises of the Academy Backend&Search Path of Empathy.co

Language:JavaStargazers:0Issues:0Issues:0

PGPI-G1.5

This is the respository for the subject PGPI created by G1.5

Language:PythonStargazers:0Issues:0Issues:0

decide-part-utrera-2

Plataforma de voto electrónico educativa

Language:PythonLicense:AGPL-3.0Stargazers:0Issues:0Issues:0
Language:PythonLicense:AGPL-3.0Stargazers:0Issues:0Issues:0

UpTask

Information system based on Asana and Trello in order to optimize processes and tasks related to the different projects of a company.

Stargazers:0Issues:0Issues:0

BIRD_CLASS_RECOGNITION

Artificial Intelligence based on the Transformer architecture and realized using technologies such as Jupyter Notebook and PyTorch with the objective of recognizing 400 species of birds from images. A convolutional neural network has also been added for performance comparison and the respective memory of the project.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Acme-Toolkits

This is the Acme Toolkits repository

Language:JavaLicense:NOASSERTIONStargazers:1Issues:0Issues:0

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

License:MITStargazers:0Issues:0Issues:0