richardesp

Attention-based-models-for-Hyper-Kvasir

Automatic and accurate analysis of medical images is a sub- ject of great importance in our current society. In particular, this work focuses on gastrointestinal endoscopy images, as the study of these im- ages helps to detect possible health conditions in those regions.

CIFAR10_CNN

Evaluation of models applied to the CIFAR10 dataset, for the Introduction to Machine Learning course.

cudaKNN

This repository consists in the implementation of the KNN algorithm using the CUDA library, focused on NVIDIA's recent AMPERE architectures.

Dataset-on-blood-transfusions-for-oblique-tree-training

Intelligent-fundamentals-in-vision

Evaluation of convolutional models applied to artificial vision, focused on traffic signal detection for the course Fundamentals of Intelligent Systems in Vision.

Masked-Face-Detection

This project consists of a VGG16 convolution network for the detection of people with and without a mask

Metaheuristics-Data-Mining

This repository consists of the practices of the Metaheuristics course. In the final work, the implementation of an evolutionary algorithm is carried out to obtain patterns in a dataset of patients with sleep apnea, in order to detect recurrent behaviours among these patients.

pycritty

Pseudo-code interpreter using Bison and Flex as lexical and syntactic processors.

richardesp

Una descripción sobre mi

todit

Gestor de tareas creado con el framework de Flask

richardesp/Masked-Face-Detection

This project consists of a VGG16 convolution network for the detection of people with and without a mask

richardesp/pycritty

Pseudo-code interpreter using Bison and Flex as lexical and syntactic processors.

richardesp/richardesp

Una descripción sobre mi

richardesp/todit

Gestor de tareas creado con el framework de Flask

richardesp/cudaKNN

This repository consists in the implementation of the KNN algorithm using the CUDA library, focused on NVIDIA's recent AMPERE architectures.

richardesp/Dataset-on-blood-transfusions-for-oblique-tree-training

richardesp/Attention-based-models-for-Hyper-Kvasir

Automatic and accurate analysis of medical images is a sub- ject of great importance in our current society. In particular, this work focuses on gastrointestinal endoscopy images, as the study of these im- ages helps to detect possible health conditions in those regions.

richardesp/CIFAR10_CNN

Evaluation of models applied to the CIFAR10 dataset, for the Introduction to Machine Learning course.

richardesp/Intelligent-fundamentals-in-vision

Evaluation of convolutional models applied to artificial vision, focused on traffic signal detection for the course Fundamentals of Intelligent Systems in Vision.

richardesp/Introduction-to-data-mining

Practical exercises on the subject of introduction to data mining. The analysis of various datasets on machine learning models (KNN, decision trees, SVMs, KMeans, A priori algorithm, etc.) has been carried out, as well as bagging methodologies, and analysis on non-parametric statistical tests to compare models.

richardesp/Metaheuristics-Data-Mining

This repository consists of the practices of the Metaheuristics course. In the final work, the implementation of an evolutionary algorithm is carried out to obtain patterns in a dataset of patients with sleep apnea, in order to detect recurrent behaviours among these patients.

richardesp/handWriteMNIST

My first CNN for detect hand writen digists

richardesp/IMC-P4

richardesp/moviejet

This repository is a web application about the final work of the subject advanced databases.

richardesp/Multilayer-Perceptron-CPP

This practice consists of the implementation of a multilayer perceptron in C++. Several scripts have been added for the optimisation of hyper-parameters as well as additional arguments for training.

richardesp/P3

richardesp/practica1

Práctica 1: "Iniciación a Java"

richardesp/ruletaOnline