✏️ ECE417 Final Project - Handwritten Digit Images Generation using Generative Adversarial Network (GAN)
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Updated
May 23, 2021 - Python
✏️ ECE417 Final Project - Handwritten Digit Images Generation using Generative Adversarial Network (GAN)
Understanding GANs with MNIST implementation
Separates real and fake images
We believe that curbing this subset of fake news would involve providing the necessary tools to journalists and users who take the time to sift through trustworthy content. In this light, our solution is to devise a methodology and program to assist a journalist to identify if an image and associated title are trustworthy. The fundamentals of ou…
This repository shows how to build a Generative Adversarial Network (GAN) in PyTorch to generate fake images.
Beginner's Guide to building GAN from scratch with Tensorflow and Keras
Classifies a given aadhaar image to real or fake by doing two levels of analysis.
Classifies a given image as authentic or tampered by doing two levels of analysis. Implemented using PyTorch.
Simple way to generate fake pictures by included in gem pictures for your blog, user and other type of seeds for dev env or even RSpec tests
Fake Image Detection Using Machine Learning
Fakeimg.pl is a little tool that generates images with an URL. Choose the size, the colors, even the text. Oh… and it’s free.
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