scikit-image

flownet2-pytorchNVIDIA/flownet2-pytorch

PyTorch implementation of FlowNet 2.0 for optical flow estimation using deep neural networks.

CellposeMouseLand/cellpose

A generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.

SDF Mesh Generationfogleman/sdf

A Python library for generating 3D meshes from signed distance functions (SDFs) with a simple API.

TorchXRayVisionmlmed/torchxrayvision

An open-source library providing chest X-ray datasets, pre-trained models, and tools for medical imaging research and analysis.

Illustration2Vecrezoo/illustration2vec

A deep learning library for tag estimation and semantic feature vector extraction from illustrations.

Squidpyscverse/squidpy

A scalable Python toolkit for analyzing and visualizing spatial molecular data from tissue sections.

DeepSlideBMIRDS/deepslide

A sliding window framework for classifying high-resolution whole-slide microscopy and histopathology images using deep neural networks.

Kaggle Galaxy Challengebenanne/kaggle-galaxies

Winning solution for the Galaxy Challenge on Kaggle, using convolutional neural networks to classify galaxy morphologies.

12306-captchaaaronshan/12306-captcha

A deep learning-based solution for automatically recognizing and solving 12306 railway website captchas.

Fire Detection UAVAlirezaShamsoshoara/Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle

FLAME dataset and deep learning models for fire detection in aerial imagery using UAVs, supporting classification and segmentation tasks.

Usiigacioist/usiigaci

A semi-automated pipeline for instance-aware cell segmentation, tracking, and migration analysis in phase contrast microscopy using Mask R-CNN.

DAGANnebulaV/DAGAN

A deep learning model using generative adversarial networks for fast compressed sensing MRI reconstruction.

maptracemzucker/maptrace

A Python tool that converts raster map images into clean, watertight polygonal vector maps for crisp display graphics.

Big-fishfish-quant/big-fish

A Python toolbox for analyzing smFISH microscopy images, including spot detection and cell segmentation.

Learnergygugarosa/learnergy

A PyTorch-based Python library for energy-based machine learning models, including Restricted Boltzmann Machines and Deep Belief Networks.

AradeepopsisGregor-Mendel-Institute/aradeepopsis

An open-source pipeline for high-throughput, non-invasive extraction of phenotypic traits from plant images using deep learning.

HistoCleanHistoCleanQUB/HistoClean

An open-source image processing tool for histological image preprocessing and augmentation to improve deep learning model development.

YeaZlpbsscientist/YeaZ-GUI

A graphical interface for segmenting yeast cells in microscopy images using convolutional neural networks.