Config-based framework for organized and reproducible deep learning. MONAI Bundle + PyTorch Lightning.
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Updated
Jun 13, 2024 - Python
Config-based framework for organized and reproducible deep learning. MONAI Bundle + PyTorch Lightning.
[CVPR'24] Code for Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models
Code for "Segment Anything Model for Medical Image Analysis: an Experimental Study" in Medical Image Analysis
An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.
Binarize, normalize, segment images and train models.
collection of diffusion model papers categorized by their subareas
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
Multi-platform, free open source software for visualization and image computing.
Computed tomography to body composition (Comp2Comp).
Фреймворк компьютерного зрения для задач, детекции, сегментации, классификации, идентификации людей, анализа настроений и классификации действий
The repo gt_structure_1_1 is part of the OCR-D Ground Truth Structure corpus. Only the structure of the printed page is annotated. The corpus was created as a result of the DFG project OCR-D.
Open source Python library for building bioimage analysis pipelines
Simple-to-use scoring function for arbitrarily tokenized texts.
BIDS App for Hippunfold (automated hippocampal unfolding and subfield segmentation)
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
PyTorch extensions for fast R&D prototyping and Kaggle farming
A deep-learning pipeline for segmentation of ambiguous microscopic images.
Implementation of differents algorithms for segmentation of laserscans, splitting them into subsets of beams, with a ROS2 interface.
ResPointNet++ for AutoCon journal paper.
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