Michael Baumgartner (mibaumgartner)

mibaumgartner

Geek Repo

Company:DKFZ Heidelberg

Location:Germany

Twitter:@mibaumgartner_

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Organizations
delira-dev
PhoenixDL

Michael Baumgartner's starred repositories

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DSB2017

The solution of team 'grt123' in DSB2017

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spiderplot

Utility to create spider charts

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CL-Detection2023

CL-Detection2023 Challenge Official Repository

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notion-py

Unofficial Python API client for Notion.so

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benchbench

BenchBench is a Python package to evaluate multi-task benchmarks.

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AbdomenAtlas

[NeurIPS 2023] AbdomenAtlas

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pydicom-seg

Python package for DICOM-SEG medical segmentation file reading and writing

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mattermost

Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..

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DETA

Detection Transformers with Assignment

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lectures

Material for cuda-mode lectures

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mamba

Mamba SSM architecture

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SuPreM

[ICLR 2024] Supervised Pre-Trained 3D Models for Medical Image Analysis

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hiera

Hiera: A fast, powerful, and simple hierarchical vision transformer.

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Plain-DETR

[ICCV2023] DETR Doesn’t Need Multi-Scale or Locality Design

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arxiv-utils

Meaningful titles for tabs and PDF downloads! Also supports tab search.

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U-Mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

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MultiTalent

Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"

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AbdomenAtlas

[NeurIPS 2023] AbdomenAtlas

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cs-video-courses

List of Computer Science courses with video lectures.

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Stable-DINO

[ICCV 2023] Official implementation of the paper "Detection Transformer with Stable Matching"

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STU-Net

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.

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NVFlare

NVIDIA Federated Learning Application Runtime Environment

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pytorch-frame

Tabular Deep Learning Library for PyTorch

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VISTA

MONAI Versatile Imaging Segmentation and Annotation

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PartDistillation

Code release for the CVPR'23 paper titled "PartDistillation Learning part from Instance Segmentation"

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