1. 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.
4. Basic unet example
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
✭ 87
python5. 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.
6. Batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
✭ 655
jupyter-notebook9. Hyppopy
Hyppopy is a python toolbox for blackbox optimization. It's purpose is to offer a unified and easy to use interface to a collection of solver libraries.
✭ 26
python11. 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.
12. MITK-Diffusion
MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit
13. probabilistic unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
1-15 of 15 user projects