ProjectNeura/MIPCandy
Build a complete experiment pipeline for your PyTorch MIP model in 10 seconds.
Provides pre-built architectures and end-to-end pipelines for medical image segmentation with automatic dataset inspection, ROI extraction, and deep supervision—eliminating boilerplate setup. Integrates with WandB, TensorBoard, and Notion for experiment tracking, while supporting modular trainer classes that inherit from base pipelines (SegmentationTrainer, etc.) to customize network architectures. Built on MONAI and PyTorch with first-class support for 3D medical imaging workflows including spacing alignment and multi-fold validation.
245 stars and 574 monthly downloads. Available on PyPI.
Stars
245
Forks
37
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 06, 2026
Monthly downloads
574
Commits (30d)
0
Dependencies
12
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