mnistMuddle
cartoonify
mnistMuddle | cartoonify | |
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2 | 1 | |
3 | 371 | |
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0.0 | 0.0 | |
almost 3 years ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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mnistMuddle
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Basic Auto Encoder project - Generating poorly written digits [PyTorch]
yes, you are thinking in the right direction. I'm passing the input image to get the latent vector and then decoding it. For each of the 10 classes, I've also computed the average latent vector to represent that label cluster. Check this code here - LINK
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[P] Basic Auto Encoder project - Generating poorly written digits (PyTorch)
Hi, looking for your thoughts and feedback I created this side project to play with latent domain. The aim was to transform an input image to something that looks somewhere between 2 digits. The repository below will give you a practical exposure to Auto Encoders, Latent Domain, PyTorch, Hosting on Streamlit. GitHub Repository - LINK
cartoonify
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How to scale a deep learning app on a cost-efficient infrastructure using AWS Lambda and the Serverless framework?
All the code is available on my Github: you can reuse the code and repurpose it for projects of yours.
What are some alternatives?
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
Cartoon-StyleGAN - Fine-tuning StyleGAN2 for Cartoon Face Generation
anime-face-detector - Anime Face Detector using mmdet and mmpose
DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
Quick Start - 🍔 A Node.js Serverless Framework for front-end/full-stack developers. Build the application for next decade. Works on AWS, Alibaba Cloud, Tencent Cloud and traditional VM/Container. Super easy integrate with React and Vue. 🌈
DCT-Net - Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization
AutoDeploy - AutoDeploy is a single configuration deployment library
stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.