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A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
A Benchmark for Failure Detection under Distribution Shifts in Image Classification
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
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 …
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 applicatio…
Repository for the Medical Out-of-Distribution Analysis Challenge.
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:
Provides everything needed for high performance data loading and augmentation in pytorch.
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 d…
Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
Scripts for the preprocessing of LIDC-IDRI data
A framework for data augmentation for 2D and 3D image classification and segmentation
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 you…
Storage for presentation slides of previous talks and events.
A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.