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khaled-rahnama's Projects

3d-fcr-alphagan icon 3d-fcr-alphagan

Fully Convolutional Refined Auto Encoding Generative Adversarial Networks for 3D Multi Object Scenes

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

animegan icon animegan

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

arduino icon arduino

open-source electronics prototyping platform

awesome-fer icon awesome-fer

A reading list of top Conferences & Journals, focused on facial expression recognition (FER)

awesome-matlab icon awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

began-tensorflow icon began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

bicyclegan icon bicyclegan

[NIPS 2017] Toward Multimodal Image-to-Image Translation

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

conditional-gan icon conditional-gan

Tensorflow implement for Conditional convolutional adversarial networks.

coursera-dl icon coursera-dl

Script for downloading Coursera.org videos and naming them.

curved_shape_representation icon curved_shape_representation

Deformation based curved shape representation, similarity metric, shape modelling and geodesic deformation of curves

cyclegan icon cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

data-ace icon data-ace

Atom package that enables you to connect to, query, manage, and analyze databases

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan.torch icon dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

deep-learning-on-hcs-bigdata icon deep-learning-on-hcs-bigdata

In this work, we are interested in the application and provision of cutting-edge machine learning algorithms for HC data analysis, which are tailored to suit its specific conditions and challenges. This research focuses on the challenge of using information content that is as high as possible, by considering all the available features, to build a system for HC analysis.

discogan-pytorch icon discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

dl4mt icon dl4mt

Dual Learning for Machine Translation

dualgan icon dualgan

DualGAN-tensorflow: tensorflow implementation of DualGAN

edx-dl icon edx-dl

A simple tool to download video lectures from edx.org (and other openedx sites)

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