SrLozano
IBM Artificial Intelligence Engineer and Computer Scientist DTU - UPC - UC3M
@IBMBarcelona, Spain
Pinned Repositories
Agent-Based-DDS
Agent-Based-DDS design for the IMAS subject at Universitat Rovira i Virgili - Universitat Politècnica de Catalunya
Brain-Tumor-Radiogenomic-Classification
Brain Tumor Radiogenomic Classification task solved by Transfer Learning at Universitat de Barcelona and Universitat Politècnica de Catalunya · BarcelonaTech
HackerRankChallenges
A set of HackerRank Challenges I use to improve my coding skills
ISIC-2016_Challenge-Lesion-Segmentation
ISIC Challenge - Lesion Segmentation task solved using a U-Net Xception-style model at Universitat de Barcelona and Universitat Politècnica de Catalunya · BarcelonaTech.
MAMe_DL
Museum Art Mediums (MAMe) image classification task solved by Convolutional Neural Networks at Universitat Politècnica de Catalunya · BarcelonaTech
MSc-Thesis-Subject-Driven-Augmentation
Subject-Driven Generation Techniques for Stable Diffusion Model. A modern approach to data augmentation. Master's Thesis. Technical University of Denmark - DTU
PacMan-QLearning-Algorithm
Implementation of the Q-Learning Algorithm for playing Pac-Man. Project based on the Berkeley CS188 intro to AI
Simple-File-System
A simple file system written in C
tfjs-posenetClassifier
This project is an AI-based sports application developed with the purpose of helping people to become better athletes. A computer vision architecture based on neural networks has been created so that, automatically, a user can know how well he or she is doing the exercises.
Tinder-Big-Data-Analysis
Big Data Analysis of Tinder done at Universitat Rovira i Virgili and Universitat Politècnica de Catalunya · BarcelonaTech
SrLozano's Repositories
SrLozano/Tinder-Big-Data-Analysis
Big Data Analysis of Tinder done at Universitat Rovira i Virgili and Universitat Politècnica de Catalunya · BarcelonaTech
SrLozano/Simple-File-System
A simple file system written in C
SrLozano/Brain-Tumor-Radiogenomic-Classification
Brain Tumor Radiogenomic Classification task solved by Transfer Learning at Universitat de Barcelona and Universitat Politècnica de Catalunya · BarcelonaTech
SrLozano/MSc-Thesis-Subject-Driven-Augmentation
Subject-Driven Generation Techniques for Stable Diffusion Model. A modern approach to data augmentation. Master's Thesis. Technical University of Denmark - DTU
SrLozano/MAMe_DL
Museum Art Mediums (MAMe) image classification task solved by Convolutional Neural Networks at Universitat Politècnica de Catalunya · BarcelonaTech
SrLozano/tfjs-posenetClassifier
This project is an AI-based sports application developed with the purpose of helping people to become better athletes. A computer vision architecture based on neural networks has been created so that, automatically, a user can know how well he or she is doing the exercises.
SrLozano/PacMan-QLearning-Algorithm
Implementation of the Q-Learning Algorithm for playing Pac-Man. Project based on the Berkeley CS188 intro to AI
SrLozano/posenetClassifier-kerasModel
This Keras model is used to classify poses output by the Posenet model
SrLozano/Tripmefy
A webpage for making the search for trips easy and social
SrLozano/Agent-Based-DDS
Agent-Based-DDS design for the IMAS subject at Universitat Rovira i Virgili - Universitat Politècnica de Catalunya
SrLozano/Bomberman
Java implementation of this classic video game from the 80s
SrLozano/HackerRankChallenges
A set of HackerRank Challenges I use to improve my coding skills
SrLozano/ISIC-2016_Challenge-Lesion-Segmentation
ISIC Challenge - Lesion Segmentation task solved using a U-Net Xception-style model at Universitat de Barcelona and Universitat Politècnica de Catalunya · BarcelonaTech.
SrLozano/CT-Reconstruction
Computed Tomography Image Reconstruction task solved at Universitat de Barcelona and Universitat Politècnica de Catalunya · BarcelonaTech
SrLozano/LozanoWebPage
Online resume template page for Enrique and Mario
SrLozano/up-down-arms-kerasModel
The purpose of this repository is to enable a keras model created to be integrated into an angular app using tensorflowjs be used by hosting it into GitHub