NikolasMorshuis

diffusion-priors

Learning Diffusion Priors from Observations by Expectation Maximization

BIRD

This is the official implementation of "Blind Image Restoration via Fast Diffusion Inversion"

Robust-Segmentation

[ECCV 2024] Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models

Solaar

Linux device manager for Logitech devices

RobustVLM

[ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

I2SB

marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

DOODL

STAI-tuned

Utility code from STAI (https://scalabletrustworthyai.github.io/)

revisiting-at

Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"

DiffusionMBIR

Official PyTorch implementation of the CVPR 2023 paper "Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models (https://arxiv.org/abs/2211.10655)"

mri

Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Awesome-MRI-Reconstruction

tue-slurm-helloworld

Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container

merlin

fastmri-plus

Data labels and scripts for fastMRI.org

fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images.

meddlr

A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.

skm-tea

Repository for the Stanford Knee MRI Multi-Task Evaluation (SKM-TEA) Dataset

advchain

[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)

Cooperative_Training_and_Latent_Space_Data_Augmentation

[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

csgm-mri-langevin

ROG

Towards Robust General Medical Image Segmentation

IB-INN

Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)

fast_web_style_transfer

A small svelte website inclusive tutorial to perform a fast neural style transfer using ONNX.js.

VAE_pairwise

multi-level-vae

This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), which was accepted at AAAI-18.

samplemod

Variational-Autoencoder-pytorch

Implementation of a convolutional Variational-Autoencoder model in pytorch.