ahasanpour

Deep-Learning-Models

Deep Learning models used in EEG signals classification

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

E2F-GAN

EEG_ECG-singals

preparation and feature extraction in EEG ECG signals

EFaR-2023

EFaR 2023: Efficient Face Recognition Competition

Fed-CDP

code for ICDCS2021 Gradient-Leakage Resilient Federated Learning

Generate-artificial-lung-tissues

generate artificial lung tissue by Generative Adversarial Networks

Lung_segmentation

Lung segmentation based on deep learning models

lung_texture_classification_cnn

lung texture classification via deep learning

markov_random_field

markov random field for image denoising and segmentation

ahasanpour/Deep-Learning-Models

Deep Learning models used in EEG signals classification

ahasanpour/EEG_ECG-singals

preparation and feature extraction in EEG ECG signals

ahasanpour/E2F-GAN

ahasanpour/Generate-artificial-lung-tissues

generate artificial lung tissue by Generative Adversarial Networks

ahasanpour/Lung_segmentation

Lung segmentation based on deep learning models

ahasanpour/lung_texture_classification_cnn

lung texture classification via deep learning

ahasanpour/markov_random_field

markov random field for image denoising and segmentation

ahasanpour/distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

ahasanpour/EFaR-2023

EFaR 2023: Efficient Face Recognition Competition

ahasanpour/Fed-CDP

code for ICDCS2021 Gradient-Leakage Resilient Federated Learning

ahasanpour/models

Models built with TensorFlow

ahasanpour/PriFa_ML

ahasanpour/PriFaML

ahasanpour/privacy

Library for training machine learning models with privacy for training data

ahasanpour/pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.