HelmholtzAI-Consultants-Munich/Particle-detection-in-3D-cellular-cryo-electron-tomograms

Stars
3
Rank 3,963,521 (Top 79 %)
Language
Python
Created about 4 years ago
Updated over 2 years ago

HelmholtzAI-Consultants-Munich/Particle-detection-in-3D-cellular-cryo-electron-tomograms

HelmholtzAI-Consultants-Munich

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Deep learning based particle detection in 3D cellular cryo-electron tomograms

XAI-Tutorials

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

Jupyter Notebook

Quicksetup-ai

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

Automatic-Cell-Counter

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

fg-clustering

Explainability for Random Forest Models.

Jupyter Notebook

PySDDR

A python package for semi-structured deep distributional regression

Jupyter Notebook

oligo-designer-toolsuite

Develop custom oligo design pipelines.

napari-organoid-counter

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

data-centric-platform

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

ArtsyML

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

EMcapsulins_segmentation

segmentation models for EMcapsulins segmentation

Echo2Pheno

A deep learning application to uncover echocardiographic phenotypes

Jupyter Notebook

DimRed-Course

Material for the dimensionality reduction course

Jupyter Notebook

oligo-designer-toolsuite-AI-filters

AI plug-ins for the Oligo Designer Toolsuite package

ArtsyML_app

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.

Organoid-Counting