43 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Super cool utilities that we just love to use | 101K | |
| Efficient parallelizable algorithms for multidimensional arrays to speed up your... | 57K | |
| Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Tra... | 29K | |
| Multilabel and Grey 3D morphological image processing functions. Dilate, Erode, ... | 12K | |
| Code for the ICML 2025 paper "AssistanceZero: Scalably Solving Assistance Games"... | 4K | |
| Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast ... | 3K | |
| Torso Processing ToolBox | 3K | |
| panoptica -- instance-wise evaluation of 3D semantic and instance segmentation m... | 2K | |
| Code to perform analysis on segmentations like those produced by CellMap | 2K | |
| Code for processing and analyzing the automated reconstruction of the Lee lab's ... | 1K | |
| Porous Media Morphological and Topological Analysis Toolkit | 1K | |
| Anatomical labeling of the spine in small field-of-view MRI scans | 947 | |
| Scalable, out-of-the box segmentation of individual particles from mineral sampl... | 946 | |
| The modern framework for sandbox experimentation and out-of-the box machine lear... | 827 | |
| Information and python tools for the GridTape-TEM dataset of an adult female fly... | 733 | |
| Fast brain extraction using neural networks | 672 | |
| This is a segmentation pipeline to automatically, and robustly, segment the whol... | 649 | |
| Compose chunk operators to create a pipeline for local or distributed petabyte-s... | 636 | |
| Computes CT contrast phase and GI tract contrast using TotalSegmentator and ML | 530 | |
| PySERA – Open-Source Standardized Python Library for Automated, Scalable, and Re... | 525 | |
| convert pixels to SVG square-based shapes | 523 | |
| UNRAVEL: UN-biased high-Resolution Analysis and Validation of Ensembles using Li... | 423 | |
| Segmentation for Axonal Connectomics | 410 | |
| Generate consensus 3D cells segmentations by combining 2D cell segmentations fro... | 394 | |
| A package for 3D medical image segmentation using deep learning techniques. | 382 | |
| 348 | ||
| A set of tools to process and analyze digital porous media | 320 | |
| 310 | ||
| Deep Learning for Scientific Image Analysis | 291 | |
| A tool for segmenting dendrites and dendritic spines. | 272 | |
| Official Implementation of AAAI 2025 Every Component Counts | 270 | |
| An end-to-end bioimage analysis pipeline with state-of-the-art tools for non-cod... | 260 | |
| 240 | ||
| An automated point-set based registration algorithm for correlative light and el... | 218 | |
| Package implementing the Empirical Wavelet Transforms | 206 | |
| This is a package containing the most prominent parameterisations for the melt a... | 196 | |
| A plugin to quickly generate dense ground truth with sparse labels | 167 | |
| A package for finding cores in 3D simulation data. | 135 | |
| Fast probabilistic Threshold-Free Cluster Enhancement in Python | 131 | |
| Interactive batch annotation tool for microscopy datasets with tiled grid visual... | 126 | |
| Automated brain and striatum segmentation from PET images using cascaded nnUNet ... | 80 | |
| This project is the source code to our paper. | 58 | |
| Code for the ICML 2025 paper "AssistanceZero: Scalably Solving Assistance Games"... | 30 |
