lithostark

DiffuseRecon

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

score_inverse_problems

Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"

MC-DDPM

Code for MC-DDPM

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

WKGM

Weight-K-space Generative Model for Parallel Imaging Reconstruction

FDB

Official implementation of the Fourier-constrained diffusion bridges (FDB) model for MRI reconstruction

CM-DM

Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

LANCE

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images

DVCEs

DiME

Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

MNISTDiffusion

Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.

invertible_densenets

invertible-resnet

Official Code for Invertible Residual Networks

torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

chest-xray-synthesis

Using GANs and Stable Diffusion to generate Chest Xray data points and evaluating them using convolutional classifiers.

medical_mae

The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"

Lung-GAN

Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification using Chest CT and X-ray Images

gifsplanation

Gifsplanation - Explaining neural networks with gifs!

latentshift

A method to generate counterfactuals

AAAI-2021

Code for our paper

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

ChestImaGenomeChangeDetection

This is the code repository for the ChestI maGenome Clinical Application Task 1: Change between sequential CXR exams

Style-CheXplain

GAN-based method to create counterfactual explanations for chest X-rays

concept-explanations

Attri-Net

Official implementation for paper "Inherently Interpretable Multi-Label Classification of Chest X-rays Using Class-Specific Counterfactuals"