There are 0 repository under gans-models topic.
StyleGAN and StyleGAN2 implementation for generating anime faces.
(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare
A cartoonizer able to turn your images or videos to high-quality real-life cartoons using the power of GANs and Vgg16 NN archticture
Implementing Age Transformation using Generative Models.
StyleGAN2-ADA for generation of synthetic skin lesions
The first GANs-based omics-to-omics translation framework
Open source code and ressources for SIP-GAN paper.
A MNIST GAN implemented from scratch in C++
This repository will contain the codes and information from my Image Colorization project.
Cropped Image Enhancement using GANs for YOLO
This system provides the facility to convert roughly hand-drawn humam face sketch image into a realistic face image by using image generative AI in a real-time.
Some notes on AI/ML and Mathematics
Advanced Machine Learning Specialization - Introduction to Deep Learning (Coursera)
Generating different facial expressions.It uses diferent types of Generative Adversarial Network to generate the required outputs.
Mode Selection/Covering of GANs (TensorFlow 2)
This project focuses on the task of Generative Adversarial Network using dataset sourced from Kaggle. The primary goal of this repository is to develop a deep learning model capable of generating high quality, diverse, and realistic images of cat faces.
Face Generation - Udacity project for deep learning Nanodegree
Black and Power Metal Album Art Generator with DCGAN
Created by Mehmet Zahid Genç
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
Create new and unseen Anime faces using Generative Adversarial Networks (Gans) Model implemented using Tensorlow and Python
A repository for generating synthetic data (images) using various DL/ML models.
This repository consist of various notebooks related to Deep Learning Processes
Solve several tasks on classification and clustering.
An AI/ML model that uses Generative Adversarial Networks to create images from a sample dataset. 5th Attempt
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.
Creating a dataset of varied celestial objects to get a broader perspective of Universe.