Scientific Guide AI notebooks is a collection of machine learning and deep learning notebooks prepared by Salem Messoud.
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Updated
Nov 23, 2021 - Jupyter Notebook
Scientific Guide AI notebooks is a collection of machine learning and deep learning notebooks prepared by Salem Messoud.
Solutions for Advanced Image Analysis course assignments, featuring model designs for image summation and generation with MNIST, and style transfer using CycleGAN with MNIST and SVHN datasets.
TNNLS 2024 submission. VerDisGAN and HorDisGAN which control the variation degrees for generated samples
This project implements a CycleGAN-based method for image dehazing on a paired dataset containing hazy images and their corresponding ground truth clear images.
CycleGAN and TwoStylesTransfer realizations
Reimplementation of papers on DCGAN and CycleGAN.
CycleGAN implementation in PyTorch
ArtGan for transferring real Images to realism art style.
Implemented basic deep learning models using PyTorch
Unpaired Image to Image translation using PyTorch
Telegram Bot на aiogram, преобразующий входящие фотографии с помощью Style Transfer или CycleGAN
Unofficial Pytorch implementation of CycleGAN for MNIST, USPS, SVHN, MNIST-M, and SyntheticDigits datasets.
This is a PyTorch implementation of Cycle GAN from Scratch.
Using CycleGAN to swap Pokemon types
Basic overview of CycleGAN and its Implementation using Pytorch
We train a CycleGAN model that will generate "realistic" augmented images based on images coming from the Duckietown simulator. This is in an attempt to reducing the reality gap when transitioning from robot training in simulation to real life.
Implementation of MultiStain-CycleGAN
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