Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
A Deep-Learning model for image classification of a set of 10 food items. It uses the ResNet-50 pre-trained on ImageNet database.
Image classifier with PyTorch (Classify flower breeds)
A simple PyTorch implementation of some datasets for Deep Hashing
En este pequeño proyecto, utilizaré una imagen para hacer algunas transformaciones que se podrían usar para aumentar un conjunto de datos y mejorar el modelo utilizando varias capas y una red convolucional.
This repo contains different machine learning and deep learning projects
Successfully developed an object detection model using Faster R-CNN to detect and localize wind turbines in aerial imagery, aiding in automated monitoring and infrastructure assessment.
Successfully developed an object detection model using Faster R-CNN to detect and classify traffic signs in road images, enhancing autonomous driving and intelligent transportation systems.
Successfully developed a wildlife detection model using Faster R-CNN to identify and localize animals in natural habitats, supporting conservation efforts and ecological research.
This GitHub laboratory contains PyTorch classification loss functions, Jupyter notebooks, and documentation for researchers and machine learning enthusiasts interested in deep learning and PyTorch.
Successfully developed an object detection model using Faster R-CNN to detect vehicles and traffic-related objects in real-time road scenes, supporting smart traffic monitoring and surveillance applications.
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