litho (lithostark)

lithostark

Geek Repo

Github PK Tool:Github PK Tool

litho's starred repositories

LLaVA

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

Language:PythonLicense:Apache-2.0Stargazers:18224Issues:157Issues:1402

mae

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

Language:PythonLicense:NOASSERTIONStargazers:6995Issues:58Issues:186

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Language:PythonLicense:Apache-2.0Stargazers:6278Issues:43Issues:82

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Language:PythonLicense:Apache-2.0Stargazers:3140Issues:44Issues:276

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

Language:PythonLicense:MITStargazers:3029Issues:125Issues:127

torchxrayvision

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:859Issues:18Issues:74

invertible-resnet

Official Code for Invertible Residual Networks

Language:PythonLicense:MITStargazers:515Issues:13Issues:19

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"

MC-DDPM

Code for MC-DDPM

MNISTDiffusion

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

Language:PythonLicense:MITStargazers:61Issues:2Issues:2

medical_mae

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:59Issues:2Issues:11

DiffuseRecon

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Language:PythonLicense:MITStargazers:55Issues:4Issues:7

LANCE

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:26Issues:6Issues:3

Style-CheXplain

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

Language:PythonLicense:MITStargazers:23Issues:0Issues:0

FDB

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

Language:PythonLicense:MITStargazers:23Issues:5Issues:2

gifsplanation

Gifsplanation - Explaining neural networks with gifs!

Language:Jupyter NotebookStargazers:23Issues:6Issues:1
Language:PythonLicense:MITStargazers:22Issues:1Issues:0

DiME

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

Language:PythonLicense:MITStargazers:21Issues:3Issues:4

chest-xray-synthesis

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

Language:Jupyter NotebookLicense:MITStargazers:16Issues:3Issues:1

AAAI-2021

Code for our paper

Language:Jupyter NotebookStargazers:12Issues:1Issues:4

latentshift

A method to generate counterfactuals

Language:Jupyter NotebookStargazers:11Issues:1Issues:0

Lung-GAN

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

Language:PythonStargazers:7Issues:1Issues:0

Attri-Net

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

Language:PythonStargazers:6Issues:0Issues:2

CM-DM

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

Language:Jupyter NotebookStargazers:6Issues:2Issues:1

ChestImaGenomeChangeDetection

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

Language:PythonLicense:MITStargazers:5Issues:1Issues:1

WKGM

Weight-K-space Generative Model for Parallel Imaging Reconstruction