{"repo":"t04glovern/selfie2anime","free":true,"listed":false,"github":"https://github.com/t04glovern/selfie2anime","clone":"git clone https://github.com/t04glovern/selfie2anime.git","description":"Anime2Selfie Backend Services - Lambda, Queue, API Gateway and traffic processing","language":"Python","stars":177,"topics":["selfie2anime","data-science","aws","aws-lambda","serverless"],"license":"MIT","category":"machine-learning","readme_excerpt":"    Selfie2Anime What do YOU look like in ANIME? This repository contains the source code for the backend for the selfie2anime.com website. Source code for the frontend website can be found at https://github.com/SilentByte/selfie2anime-site Also checkout the presentation \"Scaling Models to the Masses\" I did for Perth Machine Learning Group --- How Does it Work? --- Using machine learning techniques combined with a Generative Adversarial Network (GAN) makes it possible to generate anime-style characters based on real people. With this website, you can generate your own anime alter ego! The GAN we are using is based on original work by Junho Kim , Minjae Kim , Hyeonwoo Kang , and Kwanghee Lee . More information can be found in their awesome repository, which is available here, or in their research paper. --- Components --- Below is a general diagram illustrating the process our workers follow to process incoming requests. More information about the process seen above can be found in the following modules image-handler Image processing pipeline UGATIT UGATIT environment from Junho Kim and Minjae Kim and Hyeonwoo Kang and Kwanghee Lee Attributions Please cite the original author of UGATIT: Junho Kim, Minjae Kim, Hyeonwoo Kang, Kwanghee Lee","default_branch":null,"files":null,"tree":[],"storefront":"/r/t04glovern","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/t04glovern/selfie2anime/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}