Diffusion Models
Showing 14 of 14 projects
A latent text-to-image diffusion model that generates detailed images from text prompts, running on GPUs with at least 10GB VRAM.
A collection of 60+ annotated PyTorch implementations of deep learning papers with side-by-side explanatory notes.
A modular PyTorch library for state-of-the-art diffusion models to generate images, audio, and 3D molecular structures.
Minimal inference code for running FLUX.1 open-weight models for image generation and editing.
A multi-voice text-to-speech system that produces highly realistic prosody and intonation using autoregressive and diffusion decoders.
A free course teaching diffusion models theory and hands-on implementation using Hugging Face's Diffusers library.
An open-source diffusion model for generating and designing protein structures, including binders, symmetric oligomers, and motif-scaffolded proteins.
A curated list of academic papers and resources for image and video inpainting techniques.
A state-of-the-art diffusion model for predicting how small molecules (ligands) bind to proteins.
A diffusion framework for controllable protein sequence and evolutionary alignment generation using discrete diffusion models.
A Python library for generating high-quality synthetic tabular data using GANs, diffusion models, and large language models.
Official implementation of a 3D equivariant diffusion model for generating drug-like molecules that bind to specific protein targets and predicting their binding affinity.
An integrated framework for training custom generative AI image-to-image models using GANs, Diffusion, and Consistency Models.
A curated list of resources for makeup and hairstyle transfer research using computer vision and generative AI.
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