erjel Goto Github PK

bcm3d

biofilmq

BiofilmQ: a software tool for quantitative image analysis of microbial biofilm communities

cellpose

a generalist algorithm for cellular segmentation

clij-docs

Online documentation and reference for CLIJ

clijpy

GPU-accelerated image processing using CLIJ via pyimagej in python

components

daisy

Block-wise task scheduling for large nD volumes.

deepcut

deepem

Deep Learning for EM Connectomics

deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

distributed_ffn

Distributed training of Flood-Filling Networks (FFNs) for instance segmentation in 3d volumes implemented with Horovod.

division_detection

Cell-division classifier

divisiondetectionpostprocessing

emdrp

volumetric reconstruction of 3D cellular-resolution imaging data

f-prak-sose-v15

FPrak Physik Marburg: Maschinelles Lernen in der wissenschaftlichen Bildanalyse

ffn

Flood-Filling Networks for instance segmentation in 3d volumes.

fprak-maschinelles-lernen-v15

F-Praktikumsversuch 15 - Maschinelles Lernen in der wissenschaftlichen Bildanalyse

gunpowder

A library to facilitate machine learning on multi-dimensional images.

happyneuron

horovod-gpu-data-science-project

Template repository for a Python 3-based data science project that uses Horovod.

iterative-biofilm-annotation

Collection of files for the semi-manual segmentation of bacterial biofilms

knossos_utils

Python library for interacting with KNOSSOS data sets and annotation files

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

lsd

🌈

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

merge-stardist-masks

Merge StarDist Masks - additional postprocessing for StarDist

micro-manager

Microscope control and image acquisition integrated with ImageJ.

mlreview_notebooks

Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"