Grigorios Kalliatakis (@GKalliatakis)
  • Stars
    star
    1,377
  • Global Rank 22,541 (Top 0.8 %)
  • Followers 130
  • Following 72
  • Registered over 13 years ago
  • Most used languages
    Python
    46.7 %
    MATLAB
    33.3 %
    JavaScript
    13.3 %
    TeX
    6.7 %

Top repositories

1

Delving-deep-into-GANs

Generative Adversarial Networks (GANs) resources sorted by citations
853
star
2

Keras-VGG16-places365

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
Python
193
star
3

Adventures-in-deep-learning

A curated list of Deep Learning resources sorted by reputation
127
star
4

Bilateral-Filtering

Applying Bilateral Filtering to images
MATLAB
46
star
5

Keras-Application-Zoo

Reference implementations of popular DL models missing from keras-applications & keras-contrib
Python
33
star
6

Fourier-Analysis-Digital-Images

Fourier analysis applications for image matching.
MATLAB
19
star
7

Wavelet-decomposition-and-Filter-bank

The wavelet transform and its applications in image denoising
MATLAB
17
star
8

FBI-Scraper

A simple, multithreaded image scraper implemented in Python for downloading all images from the Flickr web service for a given keyword and time period.
Python
15
star
9

Computer-Vision-Journals-Catalogue

Computer Vision Journals List, Review Speed, Impact Factors
13
star
10

LaTeX-Journal-Assistant

📝 Your LaTeX-based assistant to count on when submitting your scientific documents
TeX
9
star
11

Human-Rights-Archive-CNNs

The Human Rights Archive CNNs for Human Rights Violations Classification
Python
8
star
12

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"
Python
7
star
13

Deep-Learning-Lecture-Slides

Lecture slides, in PDF format, accompanying all chapters of the MIT Press book 'Deep Learning'
7
star
14

DisplaceNet

Recognising Displaced People from Images by Exploiting Dominance Level - CVPR '19 Workshop on Computer Vision for Global Challenges (CV4GC)
Python
6
star
15

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
JavaScript
5
star
16

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’
JavaScript
4
star
17

Human-Rights-UNderstanding-CNNs

Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?
3
star
18

Video-Recording-using-Matlab-GUIDE-

A Graphical User Interface (GUI) written in Matlab for recording unlimited frames of video in either .avi files or in Matlab's native format .mat from a USB camera.
MATLAB
2
star
19

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
MATLAB
2
star
20

Keras-EMOTIC-resources

Repo to facilitate the loading process of models trained on EMOTIC
1
star
21

radimagenet-pytorch

RadImageNet in PyTorch. RadImageNet is an open-access medical imaging database designed for deep learning research and effective transfer learning.
Python
1
star