There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Delving-deep-into-GANs
Generative Adversarial Networks (GANs) resources sorted by citationsKeras-VGG16-places365
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classificationAdventures-in-deep-learning
A curated list of Deep Learning resources sorted by reputationBilateral-Filtering
Applying Bilateral Filtering to imagesKeras-Application-Zoo
Reference implementations of popular DL models missing from keras-applications & keras-contribFourier-Analysis-Digital-Images
Fourier analysis applications for image matching.Wavelet-decomposition-and-Filter-bank
The wavelet transform and its applications in image denoisingFBI-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.Computer-Vision-Journals-Catalogue
Computer Vision Journals List, Review Speed, Impact FactorsLaTeX-Journal-Assistant
📝 Your LaTeX-based assistant to count on when submitting your scientific documentsHuman-Rights-Archive-CNNs
The Human Rights Archive CNNs for Human Rights Violations Classificationcamus-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"Deep-Learning-Lecture-Slides
Lecture slides, in PDF format, accompanying all chapters of the MIT Press book 'Deep Learning'DisplaceNet
Recognising Displaced People from Images by Exploiting Dominance Level - CVPR '19 Workshop on Computer Vision for Global Challenges (CV4GC)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 adoptedBringDepthDataAlive
Implementation of visualisations presented in the paper ‘Conceiving Human Interaction by Visualising Depth Data of Head Pose Changes and Emotion Recognition via Facial Expressions’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 binariesKeras-EMOTIC-resources
Repo to facilitate the loading process of models trained on EMOTICradimagenet-pytorch
RadImageNet in PyTorch. RadImageNet is an open-access medical imaging database designed for deep learning research and effective transfer learning.Love Open Source and this site? Check out how you can help us