pfjaeger's Stars
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
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
MIC-DKFZ/nnUNet
corona-warn-app/cwa-documentation
Project overview, general documentation, and white papers. The CWA development ends on May 31, 2023. You still can warn other users until April 30, 2023. More information:
hustvl/Vim
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
multimodallearning/pytorch-mask-rcnn
Project-MONAI/tutorials
MONAI Tutorials
MIC-DKFZ/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
MIC-DKFZ/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
MIC-DKFZ/nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
PhoenixDL/rising
Provides everything needed for high performance data loading and augmentation in pytorch.
MIC-DKFZ/trixi
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
kaapana/kaapana
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
tohinz/multiple-objects-gan
Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
MIC-DKFZ/LIDC-IDRI-processing
Scripts for the preprocessing of LIDC-IDRI data
MIC-DKFZ/mood
Repository for the Medical Out-of-Distribution Analysis Challenge.
FabianIsensee/BatchViewer
A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.
IML-DKFZ/fd-shifts
A Benchmark for Failure Detection under Distribution Shifts in Image Classification
HeidelbergAI/slides
Storage for presentation slides of previous talks and events.