Code made available for reproducible research

Greetings fellow researchers!! Welcome to my code repository. This part of my website is dedicated to provide code that I have used to generate reults published in my papers. Choose below which project you would like to browse.

All links below will redirect you to GitHub.

Precision Ananlysis of deep neural networks. Code needed to generate results from my ICML 2017 and ICASSP 2018 papers.

• Theano version with examples on MNIST and CIFAR-10.
• Pytorch version with ResNet 18 example on CIFAR-10.

Fixed-Point Training of deep neural networks. Code needed to generate results from my ICLR 2019 paper.

• Theano version with ResNet 20 example on CIFAR-10.

I appreciate any publication leveraging the provided codes to cite my correpsonding paper - Charbel