An app that uses CoreML and SqueezeNet to take a picture and tell what the object it thinks is in the picture!

Machine learning project for Computer science (University of Catania)

Deep learning models to predict the emotion exhibited by the person from videos

Automatic Diagnosis of COVID-19 using CT Scan

Implemented the training and inference of several common deep learning model algorithms with tensorflow and pytorch.

SqueezeNet for ncnn framework

Easy to use, popular computer vision layers' implementations with customizable parameters

Taken from https://answers.opencv.org/answers/191837/revisions/

Steering Angle prediction

Real time camera object detection with Machine Learning in swift. Basic introduction to Core ML, Vision and ARKit.

A simple SqueezeNet implementation with Keras.

Behavior cloning of driving a car on a track

SqueezeNet Implementation in TensorFlow 1.10

Codes Used on My Thesis Work - Fire and Smoke Detection using Fully Supervised Training Methods and Search by QuadTree ( FireFront Project )

For research assistance purposes

Architectures of convolutional neural networks for image classification in PyTorch

the implementation of some deep learning algorithms

Python program allowing to control mouse by performing hand gestures captured by a webcam.