Stars
Beads - A memory upgrade for your coding agent
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Taming Transformers for High-Resolution Image Synthesis
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.
Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch
Official inference repo for FLUX.1 models
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A latent text-to-image diffusion model
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…
Convert images to vectorized line drawings for plotters.
Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
python notebooks accompanying the book Make Your Own GAN
Intention learning by jointly learning latent features
Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
A unified 3D Transformer Pipeline for visual synthesis
Fast and Easy Infinite Neural Networks in Python
Photographic Image Synthesis with Cascaded Refinement Networks
Project page for our ICCV 2021 paper "The Way to my Heart is through Contrastive Learning"
StyleGAN2-ADA - Official PyTorch implementation
Official PyTorch implementation of "ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows"