Reamonn Lois Domingo's starred repositories
the-gan-zoo
A list of all named GANs!
capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
awesome-capsule-networks
A curated list of awesome resources related to capsule networks
Rotten-Soup
A roguelike built with Vue, Vuetify, Tiled, rot.js, and PixiJS! Playable at https://rottensoup.herokuapp.com/
SteganoGAN
SteganoGAN is a tool for creating steganographic images using adversarial training.
Pytorch-CapsuleNet
An easy-to-follow Pytorch implementation of Hinton's Capsule Network
capsule-GAN
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
PyTorch-Deep-Image-Steganography
A PyTorch implementation of image steganography utilizing deep convolutional neural networks
DeepSteganography
Ever sent a hidden message in invisible ink to your friends? Are you intrigued by the idea of cryptic message exchange? How about using images for this exchange? Steganography is what you need! It is one of the techniques of encryption and over the years, steganography has been used to encode a lower resolution image into a higher resolution image. But steganography using naive methods, like LSB manipulation, is susceptible to statistical analysis. Our model extends existing deep learning research for encoding multiple secret images onto a single cover by leveraging convolutional neural networks based deep learning architectures. DeepSteg allows senders to embed up to three secret images onto a single cover using an encoder network and then have multiple decoder networks to obtain the embedded secrets.
XuNet-Structural-Design-of-Convolutional-Neural-Networksfor-Steganalysis
A pytorch implementation of Structural Design of Convolutional Neural Networks for Steganalysis (Xunet)
Pytorch-Implementation-of-YeNet-Deep-Learning-Hierarchical-Representations-for-Image-Steganalysis-
A pytorch implementation of Deep Learning Hierarchical Representation for Image Steganalysis (YeNet)
Capsule-Network-and-CNN-Keras-Implementation-on-MNIST-Dataset
This repo contains the steps of how to build Capsule network and Convolutional Neural Network for MNIST dataset
Deep-Steganography-using-Autoencoders
An auto encoder-decoder based deep convolutional neural network is proposed to embed the secret image inside the cover image and to extract the file.
Deep-Stegano
Steganography with deep convolutional neural networks