mobarakol

mobarakol's Stars

• mobarakol/DARES

  Language:Jupyter Notebook7

• YuyangSheng/Surgical-DeSAM

  Language:Jupyter Notebook62

• mobarakol/PitVQA

  Language:Jupyter Notebook92

• BeileiCui/SurgicalDINO

  [IPCAI'2024 (IJCARS special issue)] Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery

  Language:Python462

• mobarakol/Learning_WhereToLook

  Language:Jupyter Notebook11

• mobarakol/Robustness_Stress_Testing

  Language:Jupyter Notebook3

• taokz/BiomedGPT

  BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

  Language:Python46853

• mobarakol/Surgical-VQLA

  Official implementation of "Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery", ICRA 2023.

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• PangWinnie0219/GradCAMDownstreamTask

  Language:Python84

• longbai1006/Surgical-VQLA

  Official implementation of "Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery", ICRA 2023.

  Language:Python204

• lofrienger/Single_SurgicalScene_For_Segmentation

  Pytorch implementation for MICCAI2022 - Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

  Language:Jupyter Notebook131

• hendrycks/robustness

  Corruption and Perturbation Robustness (ICLR 2019)

  Language:Python1k146

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.6k4.7k

• mobarakol/P-CD

  Language:Jupyter Notebook101

• RISE-MICCAI/AI-in-Medical-Imaging-Winter-2022-School

  Language:Jupyter Notebook1420

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.2k6.4k

• pengbohua/AngularGap

  Language:Python121

• XuMengyaAmy/SwinMLP_TranCAP

  Language:Python133

• lalithjets/Surgical_VQA

  Surgical Visual Question Answering. A transformer-based surgical VQA model. Offical Implementation of "Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformers", MICCAI 2022.

  Language:Python4610

• mobarakol/Surgical_SceneGraph_Generation

  MICCAI 2020

  Language:Jupyter Notebook53

• mobarakol/tutorial_notebooks

  Language:Jupyter Notebook145

• mobarakol/SVLS

  Language:Jupyter Notebook166

• XuMengyaAmy/CIDACaptioning

  Language:Python143

• lalithjets/Global-reasoned-multi-task-model

  Globally reasoned multi-task model for surgical scene understanding. A multi-task model for segmentation and scene graph. Offical Implementation of "Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding", ICRA 2022 & RA-L.

  Language:Python134

• microsoft/responsible-ai-toolbox

  Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

  Language:TypeScript1.3k349

• biomedia-mira/chexploration

  Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'

  Language:Jupyter Notebook243

• yhygao/UTNet

  Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

  Language:Python17927

• AIgen/df-posthoc-calibration

  Model-agnostic posthoc calibration without distributional assumptions

  Language:Jupyter Notebook426

• biomedia-mira/deepscm

  Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

  Language:Jupyter Notebook26753

• nyoki-mtl/pytorch-segmentation

  PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

  Language:Python37966