C

CNN

CNN Scheduling Framework

Develop a cool feature in the smart-TV that can recognize five different gestures performed by the user which will help users control the TV without using a remote.

To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution which can evaluate images and alert the dermatologists.

This project deals with human detection from IR-UWB radar sensors. In this project, we implement a custom Convolutional Neural Network with TensorFlow to classify reflected signals from people queuing and walking in a closed space.

TensorFlow examples for Artificial Neural Networks course including: MLP with softmax output layer; MLP and CNN for MNIST dataset; CNN for CIFAR-10 dataset with data augmentation; LSTM with CNN layer for IMDB sentiment classification task.

Static chess position evaluation utilizing CNNs.

Small (Python) project to predict the winner of an RPS-battle using computer vision.

Creating an Image Search Engine, which uses a vanilla CNN to extract features from an image, runs them through an Autoencoder for extracting relevant features, clusters them using a K-Means clustering, then gets similar images using Siamese networks.

Python code for detection and recognition of 13 VIPs. Project for Digital Forensics A.A 19/20 course for UNIPD.

Report - IMT Lille Douai school project - Mobile app communicating with a Django REST API combined with a conventional neural network in order to analyses pictures.

Backend - IMT Lille Douai school project - Mobile app communicating with a Django REST API combined with a conventional neural network in order to analyses pictures.

Documentation : https://cnn-project.gitlab.io/computer_vision/html/

Time series classification to identify relapse / non-relapse after cessation of leukemia treatment

A scalable image classifier using Kafka and GCP's PubSub

Haruspex is a Convolutional Neural Network capable of recognizing and predicting secondary structure elements and nucleotides in Cryo-EM reconstruction density.

Feature prediction from satelite images

Experiments for the paper: "Improving Machine Hearing on Limited Data Sets"

Comparison of standard Gabor transform with Gabor scattering audio signal representations used as an input of convolutional neural network on multiclass classification task. Experiments conducted on synthetic and GoodSounds data.

Various approaches for the Data Science Bowl 2018 Kaggle Competition. https://datasciencebowl.com : Segmenting nuclei to speed up tedious tasks in biomedical engineering efforts to find new cures.

This project deals with training of convolutional neural network for licence plate detection in video. Darknet technology was used for detection, specifically the YOLOv3-tiny neural network model.

A simple PyQt user interface for face_recognition