A clean and lucid implementation of cycleGAN using PyTorch
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Updated
Dec 22, 2018 - Python
A clean and lucid implementation of cycleGAN using PyTorch
Reimplementation of papers on DCGAN and CycleGAN.
A CycleGAN (generative adversarial network) to try out image generation from synthetic data.
Implementation of CycleGAN for Text style transfer with PyTorch.
Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.
Unpaired Image to Image translation using PyTorch
CycleGAN and TwoStylesTransfer realizations
Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Segmentation of fashion articles from human images
CycleGAN for CT scan and MRI.
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.
Implement of CycleGAN using pytorch 1.8.
Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.
This is a PyTorch implementation of Cycle GAN from Scratch.
Telegram Bot на aiogram, преобразующий входящие фотографии с помощью Style Transfer или CycleGAN
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