pix2pix and Cycle GAN architectures for image style transfer

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Or, Recent changes Goat compatible Discord webhook! The project is not supported, endorsed or recognized by neither Discord or Gamepedia/Fandom. It's a independent project created for MediaWiki wikis.

Code to reproduce paper regarding quantum diffusion model and extend: Zhang, Bingzhi, et al. "Generative quantum machine learning via denoising diffusion probabilistic models." arXiv preprint arXiv…

This repository implements various image processing and classification techniques with the help of Quantum Machine Learning concepts. This repository complements the Master's thesis written by the …

Quantum Fourier Transform, Quantum Information Processing

Quantum pre-processing filter for image classification

Different ways of Quantum Image Processing

冈萨雷斯《数字图像处理》第三版-课后习题答案；《数字图像处理（matlab版）》-源代码及图片 DIP

We are a team of 5 students (post and undergraduate) and postdocs taking part in the IBM Summer Jam Qiskit Hackathon hosted in UCD Dublin. In our project proposal we plan to look at quantum image p…

This is the code for the paper 'Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition'. It provides all the Keras classes to run a Quaternion Convolutional NN.

This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch

Implementation of Quaternion Convolutional Neural Networks

A full-stack framework for quantum computing.

An implementation of the quantum fourier transform circuit using IBM Qiskit ⚛️. In theory, this would dramatically speed up image processing operations particularly useful in computer vision 🤖.

Near Term Quantum Image Processing

This repo will contain all the reasearch papers and code for Quantum Image Processing for my current internship along with @AjjuSingh

We propose an quantum image processing platform covering various verticals such as weather forecasting. They all can be modeled using recurrent neural networks due to their temporal interactions. I…

Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)

Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation

《深入浅出图神经网络：GNN原理解析》配套代码

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.