helmholtzai-consultants-munich
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Name: HelmholtzAI-consultants-HMGU
Type: Organization
Bio: Leading in applied AI by combining unique research questions, data and expertise with democratized access to new tools.
Location: Munich, Germany
Blog: www.helmholtz.ai
HelmholtzAI-consultants-HMGU's Projects
Code for blending people in images or videos with biological images using style transfer.
WARNING: This code base is no longer supported. It still works, but we recommended using [BrainLes AURORA](https://github.com/BrainLesion/AURORA/) instead, which offers much more flexibility in a convenient PyPI package.
A GUI based on napari for counting cells automatically in cell migration experiments
A tool for all-kinds segmentation in microscopy imaging which encourages data centric approaches
Crash course on Introduction to AI and its medical applications. Tutorials with focus on intro to DL, overfitting, class imbalance.
A deep learning application to uncover echocardiographic phenotypes
segmentation models for EMcapsulins segmentation
Explainability for Random Forest Models.
PyTorch Lightning + Hydra. A very user-friendly template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡
Tensorflow and Pytorch Version of Malis Loss
A napari plugin version of the organoid counting repository
Develop custom oligo design pipelines.
AI plug-ins for the Oligo Designer Toolsuite package
A python package for semi-structured deep distributional regression
A workflow for the generation of cell infection markers from brightfield microscopy images
A flexible template, as a quick setup for deep learning projects in pytorch-lightning
Self-explanatory tutorials for different model-agnostic and model-specific XAI methods