Topic: fake-images Goto Github
Some thing interesting about fake-images
Some thing interesting about fake-images
fake-images,Fake Image Detection Using Machine Learning
User: afsalashyana
fake-images,This repository shows how to build a Generative Adversarial Network (GAN) in PyTorch to generate fake images.
User: barzansaeedpour
fake-images,Beginner's Guide to building GAN from scratch with Tensorflow and Keras
User: hklchung
fake-images,Fake image please! snippets for Atom
User: jessy1092
fake-images,Understanding GANs with MNIST implementation
User: nvsyashwanth
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 our approach are based on corroboration of news, i.e, the image must be used in credible news websites with text similar to that of the associated title for the image and text to be reliable. If not, we recommend that the journalist (or user) perform a human verification procedure.
User: rendezvous97
fake-images,Fakeimg.pl is a little tool that generates images with an URL. Choose the size, the colors, even the text. Ohβ¦ and itβs free.
User: rydgel
Home Page: https://fakeimg.pl
fake-images,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
Organization: the-rubies-way
fake-images,Separates real and fake images
User: xbactyn
fake-images,Classifies a given aadhaar image to real or fake by doing two levels of analysis.
User: z1311
fake-images,Classifies a given image as authentic or tampered by doing two levels of analysis. Implemented using PyTorch.
User: z1311
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