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Learning to See by Looking at Noise
A large-scale text-to-image prompt gallery dataset based on Stable Diffusion
Official repository for our work on micro-budget training of large-scale diffusion models.
Official Repo for "TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding"
Simple and readable code for training and sampling from diffusion models
Improving memorization in diffusion models using noisy data
Official implementation of "Art-Free Generative Models: Art Creation Without Graphic Art Knowledge"
Fully open data curation for reasoning models
Python framework for short-term ensemble prediction systems.
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A generative world for general-purpose robotics & embodied AI learning.
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
A beautiful, simple, clean, and responsive Jekyll theme for academics
A curated list for awesome discrete diffusion models resources.
Official repository for the Boltz-1 biomolecular interaction model
A trainable PyTorch reproduction of AlphaFold 3.
[ICLR 2025]: How much is a noisy image worth? 👀
This is a subset of the ImageNet validation dataset. This dataset has 5 images per class.
SVG2Keynote is a macOS tool to convert Scalable Vector Graphics to Apple Keynote documents. SVG2Keynote preserves shape information (path styles, fills), such that shapes can be edited in Keynote.
Protein structure diffusion model for unconditional protein generation and motif scaffolding
De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds
A paper summary of image inpainting