Karol-G

BatchViewer

A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.

tqdmp

Multiprocessing with tqdm progressbars!

py-spy

Sampling profiler for Python programs

memray

Memray is a memory profiler for Python

scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

U-Mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

perovskite-xai

spock

spock is a framework that helps manage complex parameter configurations during research and development of Python applications

shapely

Manipulation and analysis of geometric objects

connected-components-3d

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)

patchly

A grid sampler for larger-than-memory N-dimensional images

ParticleSeg3D

napari-mzarr

mzarr

MurineAirwaySegmentation

stardist_pytorch

StarDist PyTorch

napari-nifti

challengeR

m-pax_lib

fd-shifts

A Benchmark for Failure Detection under Distribution Shifts in Image Classification

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

napari-sam

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

stardist-napari

StarDist plugin for napari

napari-animation

A napari plugin for making animations

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

imagecodecs

Image transformation, compression, and decompression codecs

Numpy_arraysetops_EP

Numpy group_by and set-operations

image_classification

:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments

generalized_yolov5

An extension of YOLOv5 to non-natural images together with 5-Fold Cross-Validation