Software tools to collect Coronavirus sequences and create protein and nucleotide HMMs

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Brain tumors detection in MRI images using ML techniques. The code specifically trains and evaluates CNN models (VGG16, EfficientNetB0, MNASNet) and compares their effectiveness.

a simple covid-19 reporting tool using laravel

EasyCoV's service API.

HC4, HC4m and HC5 covariance matrices

As Tensorflow Kennard-Stone algorithmin uses euclidean distances, the need for an adaptation arrises when dealing with a big vector space that has unknown correlations between its variables, it may improve a lot neural networks performance.

As Tensorflow Kennard-Stone algorithmin uses euclidean distances, the need for an adaptation arrises when dealing with a big vector space that has unknown correlations between its variables, it may improve a lot neural networks performance.

This app tells us how to stop the spread of covid -19 it was very useful as covid hit last year

Sistema de Gestión Integral para Hostelería. Diseñado para optimizar la operativa diaria del bar, centralizando la gestión de recursos y la toma de pedidos. Stack Tecnológico: - Frontend: React - Backend: API Rest con Flask (Python) - Base de Datos: MongoDB.

This course covers modern computer vision, from image processing with OpenCV to deep learning with CNNs (ResNet, EfficientNet) and Transformers. Key topics include object detection (YOLO), image segmentation, and generative models (GANs, Stable Diffusion), with practical focus on transfer learning applications.