[2022/23] A study of Generative Adversarial Networks, including experiments using anime faces dataset.
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Updated
Jul 28, 2023 - Python
[2022/23] A study of Generative Adversarial Networks, including experiments using anime faces dataset.
Master's Thesis Project: Text generation with GANs and Autoencoders
Anime Face Generation using GANS and Label Smoothing.
UGP 1 for 5th semester
A list of my projects I've worked on until 2019.
Creating Images of people -who don't exist- using A.I. (and just my face as a starting point)
Face generation with DCGAN
Implementation of DCGAN model to train a neural network on mnist dataset and generate fake handwritten digits close enough to the real images from the dataset.
Materials of Amirkabir Artificial Intelligence Summer Summit GANs Workshop
Tutorial on creating your own GANs in pytorch
This repo use for creating Image-to-Image frameworks
Visualizing PCA with MNIST Dataset, Cleaning Noisy Signals with ICA, Gaussian Processing, Q-Learning (RL), GANs on MNIST Dataset
PyTorch implementacija SRGAN mreže po uzoru na rad "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". (https://arxiv.org/abs/1609.04802)
Pytorch implementation of GANs
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