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pytorch_connectomics

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software/pytorch-connectomics

PyTorch Connectomics: segmentation toolbox for EM connectomics

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
PytorchConnectomics
Country
unknown
Homepage
pytorchconnectomics.github.io/pytorch_connectomics/
Repository
github.com/PytorchConnectomics/pytorch_connectomics
Documentation
unknown
Tags
biomedical-image-processing · computer-vision · connectomics · deep-learning · microscopy · neuroscience · pytorch · segmentation
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    Visualize, share and annotate your large 3D images online

  • cloud-volumebiomedical-image-processing · connectomics

    Read and write Neuroglancer datasets programmatically.

  • exllsm-circuit-reconstructionmicroscopy · neuroscience · segmentation

    Nextflow pipeline encapsulating workflows for analyzing expansion lattice light-sheet microscopy (ExLLSM) imagery

  • BiaPybiomedical-image-processing · computer-vision

    Open source Python library for building bioimage analysis pipelines

  • napari-DINOSimcomputer-vision · microscopy · pytorch

    This repository provides DINOSim, a method that leverages the DINOv2 foundation model for zero-shot object detection and segmentation in bioimage analysis. DINOSim uses pretrained DINOv2 embeddings…

sources
  1. api.github.com/repos/PytorchConnectomics/pytorch_connectomics
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 197 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/56.json→ .entries["pytorch-connectomics"]

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