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A mobile-friendly, fast reader for Astral Codex Ten
A hard fork of Substack2Markdown that runs on Github Pages
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
IntelliJ IDEA Community Edition & IntelliJ Platform
Fine-tuning StyleGAN2 for Cartoon Face Generation
A collection of pre-trained StyleGAN 2 models to download
A Pytorch implementation of Stylegan2 with UNet Discriminator
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
StyleGAN2-ADA - Official PyTorch implementation
StyleGAN2 - Official TensorFlow Implementation
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
TerminalTextEffects (TTE) is a terminal visual effects engine, application, and Python library.
High-Resolution Image Synthesis with Latent Diffusion Models
Release for Improved Denoising Diffusion Probabilistic Models
The tiniest PaaS you've ever seen. Piku allows you to do git push deployments to your own servers.
fast-stable-diffusion + DreamBooth
This repository contains two scrapers for wikiart.org. One fetches information and images about artworks and other about artists.
[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
OneTrainer is a one-stop solution for all your stable diffusion training needs.
Convert articles to audio using OpenAI's Text to Speech API via a python script or web app
PlatformIO IDE for VSCode: The next generation integrated development environment for IoT
Your Gateway to Embedded Software Development Excellence 👽
Self-contained, minimalistic implementation of diffusion models with Pytorch.