xinyiwan

xinyiwan's Stars

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23k2452.5k3.3k

• openvinotoolkit/anomalib

  An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

  Language:Python3.9k39919685

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.6k581.3k562

• amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

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

  1.6k389149

• google/uncertainty-baselines

  High-quality implementations of standard and SOTA methods on a variety of tasks.

  Language:Python1.5k2289203

• phizaz/diffae

  Official implementation of Diffusion Autoencoders

  Language:Jupyter Notebook869881131

• Zasder3/train-CLIP

  A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

  Language:Python667163779

• richard-peng-xia/awesome-multimodal-in-medical-imaging

  A collection of resources on applications of multi-modal learning in medical imaging.

  56817360

• RyanWangZf/MedCLIP

  EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts

  Language:Python46253452

• yifanjiang19/sppnet-pytorch

  A simple Spatial Pyramid Pooling layer which could be added in CNN

  Language:Python331511133

• BAAI-DCAI/M3D

  M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

  Language:Python21062412

• razorx89/roco-dataset

  Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

  Language:Python18651620

• ahmedbesbes/mrnet

  Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

  Language:Python1276638

• Kaushalya/medclip

  A multi-modal CLIP model trained on the medical dataset ROCO

  Language:Jupyter Notebook12731919

• jusiro/FLAIR

  [MedIA'24] FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.

  Language:Python872610

• suinleelab/MONET

  Transparent medical image AI via an image–text foundation model grounded in medical literature

  Language:Python511094

• FirasBaba/brain-tumor-radiogen

  Language:Python481312

• Warvito/generative_monai

  Official implementation for "Generative AI for Medical Imaging: extending the MONAI Framework"

  44206

• sybila/presentation-template

  Simple presentation template.

  Language:TeX42317

• GuoleiSun/TSNs

  Code for ICCV21 paper: Task Switching Network for Multi-task Learning

  Language:Python18332

• adityagoel4512/Spectral-normalized-Neural-Gaussian-Process-PyTorch

  PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf

  Language:Python15322

• suinleelab/derm_audit

  Language:Python9902

• alartum/sngp-pytorch

  Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch

  Language:Jupyter Notebook8201

• hooman007/ProtoASNet

  Official repository for the paper "ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography" in MICCAI 2023 Conference

  Language:Python8112

• xyj77/Multi-scale-ResNet

  Code for paper Multi-parametric MRIs based assessment of Hepatocellular Carcinoma Differentiation with Multi-scale ResNet

  Language:Python7101

• Douwe-Spaanderman/InteractiveNet

  Minimally Interactive Segmentation

  Language:Python5321

• ExploreASL/cvasl

  This is a repo for the Cerebrovascular Brain Age project

  Language:Jupyter Notebook441351

• vitalab/deep-learning-tutorials

  Deep Learning Tutorials

  Language:Jupyter Notebook4202

• andreaccioly/3DCNN-MRI

  Cerebral Microbleeds (CMB) diagnostic of 3D SWI-MRI using Spatial Pyramid Pooling modified 3D CNNs

  Language:Jupyter Notebook21

• AFRICAI-MICCAI/model_development_2_models

  Materials for the AFRICAI 2023 summer school 2nd Model Development session

  Language:Jupyter Notebook12