Using MNIST data I trained my GAN network to replicate images of digit 5 in a way as diluted as possible.
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Updated
Jan 18, 2021 - Jupyter Notebook
Using MNIST data I trained my GAN network to replicate images of digit 5 in a way as diluted as possible.
This is a baseline tooling model for gans on TF2.0
This repository will contain the codes and information from my Image Colorization project.
Create new and unseen Anime faces using Generative Adversarial Networks (Gans) Model implemented using Tensorlow and Python
In this repository, the state-of-the-art Generative Adversarial Networks(GANs) were explored. Specifically, Deep Convolutional GANs (DCGANs) were trained on the CIFAR-10 dataset to generate new images.
A repository for generating synthetic data (images) using various DL/ML models.
StyleGAN and StyleGAN2 implementation for generating anime faces.
Face Generation - Udacity project for deep learning Nanodegree
Cropped Image Enhancement using GANs for YOLO
Advanced Machine Learning Specialization - Introduction to Deep Learning (Coursera)
This repository consist of various notebooks related to Deep Learning Processes
Solve several tasks on classification and clustering.
A MNIST GAN implemented from scratch in C++
Open source code and ressources for SIP-GAN paper.
A cartoonizer able to turn your images or videos to high-quality real-life cartoons using the power of GANs and Vgg16 NN archticture
Creating a dataset of varied celestial objects to get a broader perspective of Universe.
Implementing Age Transformation using Generative Models.
Created by Mehmet Zahid Genç
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