U-Net Model conditioned with MobileNet features for Grayscale -> Color mapping

Coding Neural Network architectures using PyTorch

This repository contains my BSc Thesis materials.

Segmentation with MobileNet

Project to handle the Rule of Social Distancing,

Using MobileNetV2 to classify Google's image dataset "cats and dogs".

DeepLensX is a Streamlit app that integrates MobileNetV2 and a CIFAR-10 model for image classification. Users can upload images and receive predictions with confidence scores from either model. It features a sleek navigation bar for easy switching and real-time results, ideal for both learning and practical use.

DiNeSys is a distributed system built for deep learning network profiling on cloud-edge systems, developed with Tensorflow (CNN computational part) Apache Thrift (client/server structure)

The official codebase for the research "Densely Populated Regions Face Masks Localization and Classification Using Deep Learning Models"

This repository contains all the code and files required for hosting the application on Heroku.

Raspberry Pi project using Intel's Neural Compute Stick with pre-trained MobileNet model for edge based streaming inference and SMS notification when class (dog) is in identified in frame

Support project for my Bachelor's thesis @ Unifi - Converting Oxford5k and Paris6k into datasets suitable for object detection tasks. This repository contains scripts to create XML (PASCAL VOC format) and JSON (COCO format) annotations from .pkl files, enabling the training of an SSD/MobileNet object detection model.

Utils for kaggle competition "Dog Breed Identification"

This is a tensorflow implementaion of MobileNet-v1, you can use your own dataset to train a new classifier.

Repository storing network checkpoints/weights for Face Recognition.

pytorch implementations of some DL architectures. Includes googlenet, resnet, inceptionV3, densenet, mobilenetV1, mobilenetV2, senet, efficientnetV1, transformer etc.