A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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Updated
Jan 6, 2021 - JavaScript
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
Create Anime Characters with MakeGirlsMoe
AnimeGAN.js: Photo Animation for Everyone
Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:
This is an portrayal of a Generative Adversarial Network (GAN) where the dog is the generator and the duck is the destructor.
SMOL WEB3 DAPP FOR LISTING OF BASTARD GAN PUNKS V2 (NOT AFFILIATED WITH THOSE LOSER BASTARDS https://bastardganpunks.club/). Web3 UI at https://bokkypoobah.github.io/BestBastardGANPunks/
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YC Hackathon 2018 Winner Project. BEN: A decentralized chatbot that uses federated learning.
Robust way to explore GAN model latent space on web using three.js & t-SNE
Web Application convert image to 3D object
BiDi: Virtual Hairstyling (simulation) App using GAN
This platform aims to connect painters to client. Painter can share/sell their paintings whereas for the clients they can buy painting an enrich their profile with modern paintings. The platform also offers AI services (GAN) to generate live images on sport based on prompt text
Portrait to anime GAN in browser using onnx runtime.
AnimeGAN.js: Photo Animation for Everyone
Curating and Generating Fashion for user's fit by Deep Learning. Using Object Detection, OpenCV for detecting, GAN for generating style.
🎨 Node.js implementation of Deep Convolutional Generative Adversarial Networks
Released June 10, 2014