cloud-volume
importeddata/cloud-volume
Read and write Neuroglancer datasets programmatically.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- seung-lab
- Country
- unknown
- Homepage
- twitter.com/thundercloudvol
- Repository
- github.com/seung-lab/cloud-volume
- Documentation
- unknown
- Tags
- big-data · biomedical-image-processing · chunked-image · cloud · connectomics · electron-microscopy · gcs · large-image
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- sofimabiomedical-image-processing · connectomics · electron-microscopy
Scalable Optical Flow-based Image Montaging and Alignment
- pytorch_connectomicsbiomedical-image-processing · connectomics
PyTorch Connectomics: segmentation toolbox for EM connectomics
- dcm2bqgcs
A service for creating JSON metadata, rendered image and text files, as well as embeddings from DICOM and storing into Google Cloud Big Query (BQ) for search and agentic use.
- biosetsbig-data
A bioinformatics extension of 🤗 Datasets library, built for ML applications on biological and omics data, offering easy integration of metadata and low-code data management tools.
- pMoSSbig-data
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…
- scDatasetbig-data
scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
- api.github.com/repos/seung-lab/cloud-volumeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-04, 175 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/35.json→ .entries["cloud-volume"]
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