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

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

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

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

The Human Rights Archive CNNs for Human Rights Violations Classification

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

Computer Vision Journals List, Review Speed, Impact Factors

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

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

Helper repo to download various assets

Repo to facilitate the loading process of models trained on EMOTIC

A curated list of Deep Learning resources sorted by reputation

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

This is just another test repository

This is just a test repository

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

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

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