These-People-Do-Not-Exist
Keras-GAN
| These-People-Do-Not-Exist | Keras-GAN | |
|---|---|---|
| 2 | 1 | |
| 15 | 9,105 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | over 1 year ago | |
| Python | Python | |
| - | MIT License |
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These-People-Do-Not-Exist
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Github
two
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TinyML: Deploying TensorFlow models to Android
A while back, researchers at NVIDIA released StyleGAN, a machine learning model that synthesizes images of pretty much anything from random noise, say images of landscapes, art, people, or vehicles. I saw a demo of it and it honestly blew my mind. Shortly after I implemented StyleGAN myself.
Keras-GAN
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Help understanding specific GAN model
If your goal is just to use a GAN, you can start here https://github.com/eriklindernoren/Keras-GAN
What are some alternatives?
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Roundtrip - Roundtrip: density estimation with deep generative neural networks
IAmNotReal - App that uses machine learning to generate human faces
Advanced-Deep-Learning-with-Keras - Advanced Deep Learning with Keras, published by Packt
deepfake-scanner - Deepfake Scanner by Deepware.
SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
Crystal-Rush - An open world platformer game
robin - RObust document image BINarization