국립공원공단 치악산 대국민 탐방서비스
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Updated
Dec 20, 2023 - 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.
국립공원공단 치악산 대국민 탐방서비스
A backend server for assisted generation of synthetic fingerprints with the help of pre-trained GAN models 🖐
PixelPerfect delivers fast and powerful image enhancements. Whether it's generating captions or summaries or sharpening images
A decentralized supply chain solution that integrates blockchain smart contracts, predictive analytics, and a modern web interface. Leveraging Ethereum (via Hardhat) for secure and transparent contract execution, combined with a Python-based predictive modeling engine and a responsive front-end
P-O-G [Project Of Generative model] - 인공지능 모델 구매 및 판매 플랫폼 (ML서버 통해 스마트폰으로 모델 이용 가능)
AnimeGAN.js: Photo Animation for Everyone
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Proof-of-concept smart timer for Bluetooth puzzles
Website of the "Towards Practical Single-shot Motion Synthesis" paper.
Owner :: Laurent Poyet - Updating https://github.com/carpedm20/DCGAN-tensorflow TF and Python modules
A custom trained GAN model that converts human faces to animated ones
Portrait to anime GAN in browser using onnx runtime.
Curating and Generating Fashion for user's fit by Deep Learning. Using Object Detection, OpenCV for detecting, GAN for generating style.
Web Application convert image to 3D object
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
Released June 10, 2014