HelmholtzAI-consultants-HMGU (HelmholtzAI-Consultants-Munich)

HelmholtzAI-consultants-HMGU

HelmholtzAI-Consultants-Munich

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Leading in applied AI by combining unique research questions, data and expertise with democratized access to new tools.

Location:Munich, Germany

Home Page:www.helmholtz.ai

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HelmholtzAI-consultants-HMGU's repositories

XAI-Tutorials

Self-explanatory tutorials for different model-agnostic and model-specific XAI methods

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Quicksetup-ai

A flexible template, as a quick setup for deep learning projects in pytorch-lightning

Language:PythonLicense:MITStargazers:43Issues:1Issues:11

Automatic-Cell-Counter

A GUI based on napari for counting cells automatically in cell migration experiments

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fg-clustering

Explainability for Random Forest Models.

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PySDDR

A python package for semi-structured deep distributional regression

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Malis-Loss

Tensorflow and Pytorch Version of Malis Loss

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oligo-designer-toolsuite

Develop custom oligo design pipelines.

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napari-organoid-counter

A napari plugin for counting organoids from brightfield microscopy images with deep learning

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data-centric-platform

A tool for all-kinds segmentation in microscopy imaging which encourages data centric approaches

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ArtsyML

Code for blending people in images or videos with biological images using style transfer.

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Echo2Pheno

A deep learning application to uncover echocardiographic phenotypes

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EMcapsulins_segmentation

segmentation models for EMcapsulins segmentation

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AURORA

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.

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DimRed-Course

Material for the dimensionality reduction course

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oligo-designer-toolsuite-AI-filters

AI plug-ins for the Oligo Designer Toolsuite package

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DL-lecture-tutorials

Crash course on Introduction to AI and its medical applications. Tutorials with focus on intro to DL, overfitting, class imbalance.

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lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡

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pytorch_fnet

A workflow for the generation of cell infection markers from brightfield microscopy images

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