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awesome-readme

A curated list of awesome READMEs

bacterial_image_analysis

Macros and methods to analyse bacterial bioimages

bayes_vinniejohnson

biapy-bioimage-io

BiaPy's BMZ connection

bioimage-io-models

Model repository for bioimage.io

bioimage.io

Website for the BioImage Model zoo -- a model zoo for bioimage analysis.

birl

BIRL: Benchmark on Image Registration methods with Landmark validations

celltrackscolab

A platform for compiling, analyzing, and exploring tracking data

csbdeep

Image restoration for fluorescence microscopy

decode

This is the official implementation of our publication "Deep learning enables fast and dense single-molecule localization with high accuracy" (Nature Methods)

deepbacs

deepcell-tf

Deep Learning Library for Single Cell Analysis

deeplabcut

Markerless pose estimation of user-defined features with deep learning for all animals, including humans

dmnet_rina

esgomezm.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

fundamentalsligthbia-itqbnova23

hands_on_github

This repository is meant to provide a short introduction to GitHub in an informal way

henriqueslab-biorxiv-template

Please go to https://www.overleaf.com/latex/templates/henriqueslab-biorxiv-template/nyprsybwffws for the original template. This repo will disappear in few days

imagej-modelzoo

imjoy

ImJoy: Deep Learning Made Easy!

list-of-update-sites

The update sites ImageJ knows about automatically

microscopy

microscopy-dl-suite-tf

Deep Learning segmentation suite designed for 2D microscopy image segmentation

millennial

A minimalist Jekyll theme for running a blog or publication powered by Jekyll and GitHub Pages

neubias-springer-book-2021

The repository of NEUBIAS textbook 2021

neubias_chapter_dl_2020

Tthis repository contains all the material for the chapter "Building a Bioimage Analysis Workflow using Deep Learning"

opencv-python-reference

An (almost) fully comprehensive reference for OpenCV! 📷🤖

pmoss

pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

shields

Concise, consistent, and legible badges in SVG and raster format