Lists (11)
Stars
A latent text-to-image diffusion model
A game theoretic approach to explain the output of any machine learning model.
High-Resolution Image Synthesis with Latent Diffusion Models
Taming Transformers for High-Resolution Image Synthesis
Book about interpretable machine learning
A framework for data augmentation for 2D and 3D image classification and segmentation
Two time-scale update rule for training GANs
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis
Official codebase for the Paper “Retrieval-Augmented Diffusion Models”
SurvSHAP(t): Time-dependent explanations of machine learning survival models
An example analytic workflow describing some techniques for working with FHIR and SNOMED CT data.
Repository zum Lehrbuch Künstliche Intelligenz in der Medizin von Tim Wiegand und Laura Velezmoro
High-Resolution Image Synthesis with Latent Diffusion Models