lithostark

mae

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

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

torchxrayvision

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

invertible-resnet

Official Code for Invertible Residual Networks

DiffIR

This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023

diffusion-classifier

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

score_inverse_problems

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

MRI-education-resources

Resources for learning the principles of magnetic resonance imaging (MRI)

MNISTDiffusion

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

MC-DDPM

Code for MC-DDPM

medical_mae

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

DiffuseRecon

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

bart-webinars

Landing page for BART Webinars

DVCEs

LANCE

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

FDB

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

gifsplanation

Gifsplanation - Explaining neural networks with gifs!

invertible_densenets

DiME

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

classical-MRI-reconstruction

A python/Pytorch re-implementation of several classical Magnetic Resonance Imaging (MRI) reconstruction algorithms

chest-xray-synthesis

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

ttt_for_deep_learning_cs

AAAI-2021

Code for our paper

latentshift

A method to generate counterfactuals

Lung-GAN

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

CM-DM

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

WKGM

Weight-K-space Generative Model for Parallel Imaging Reconstruction