Grigorios Kalliatakis's repositories

Delving-deep-into-GANs

Generative Adversarial Networks (GANs) resources sorted by citations

Keras-VGG16-places365

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

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Adventures-in-deep-learning

A curated list of Deep Learning resources sorted by reputation

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Keras-Application-Zoo

Reference implementations of popular DL models missing from keras-applications & keras-contrib

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Fourier-Analysis-Digital-Images

Fourier analysis applications for image matching.

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Wavelet-decomposition-and-Filter-bank

The wavelet transform and its applications in image denoising

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Computer-Vision-Journals-Catalogue

Computer Vision Journals List, Review Speed, Impact Factors

LaTeX-Journal-Assistant

:memo: Your LaTeX-based assistant to count on when submitting your scientific documents

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Deep-Learning-Lecture-Slides

Lecture slides, in PDF format, accompanying all chapters of the MIT Press book 'Deep Learning'

camus-segmentation-pytorch

PyTorch implementation of the two U-Net-based architectures described in "Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography"

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DisplaceNet

Recognising Displaced People from Images by Exploiting Dominance Level - CVPR '19 Workshop on Computer Vision for Global Challenges (CV4GC)

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Human-Rights-Archive-CNNs

The Human Rights Archive CNNs for Human Rights Violations Classification

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Visualising-Facial-Expression-Changes

In order to complete the process of recognising four universal dominant facial expressions (happiness, anger, sadness and surprise), emotion recognition via facial expressions (ERFE) was adopted

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BringDepthDataAlive

Implementation of visualisations presented in the paper ‘Conceiving Human Interaction by Visualising Depth Data of Head Pose Changes and Emotion Recognition via Facial Expressions’

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cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

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Human-Rights-UNderstanding-CNNs

Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?

MatDeepRep

A Matlab plugin, built on top of Caffe framework, capable of learning deep representations for image classification using the MATLAB interface – matcaffe & various pretrained caffemodel binaries

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Keras-EMOTIC-resources

Repo to facilitate the loading process of models trained on EMOTIC

radimagenet-pytorch

RadImageNet in PyTorch. RadImageNet is an open-access medical imaging database designed for deep learning research and effective transfer learning.

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Traffic-Sign-Recognition-basd-on-Synthesised-Training-Data

Using synthetic data in combination with Deep Learning, to determine if a system can be made that will be able to recognise and classify correctly real traffic signs.

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cautious-chainsaw

This is just another test repository

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expert-enigma

This is just a test repository

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Mirai

This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.

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OncoData_Public

Python wrappers for dicom conversion.

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ubiquitous-assets

Helper repo to download various assets

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