Machine learning project for Computer science (University of Catania)
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Updated
Dec 7, 2022 - Python
Machine learning project for Computer science (University of Catania)
Easy to use, popular computer vision layers' implementations with customizable parameters
Implemented the training and inference of several common deep learning model algorithms with tensorflow and pytorch.
Behavior cloning of driving a car on a track
SqueezeNet Implementation in TensorFlow 1.10
Facebook AI Performance Evaluation Platform
Python program allowing to control mouse by performing hand gestures captured by a webcam.
Run the training code and then the Inference code to check the model on saved weights.
Image Classification Training Framework for Network Distillation
Implementation of SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size by Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer.
Object Detection in Twilight
This repository contains a Keras implementation of SqueezeNet for vehicle classification.
Keras implementation of several CNN models.
Model compression methods applied to the monocular depth estimation network by Godard et al.
Skin cancer classification in pytorch using CNN
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