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GitHub / tbepler / topaz

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbepler%2Ftopaz

Stars: 164
Forks: 64
Open Issues: 24

License: gpl-3.0
Language: Jupyter Notebook
Repo Size: 111 MB
Dependencies: 32

Created: over 6 years ago
Updated: 17 days ago
Last pushed: about 1 month ago
Last synced: 8 days ago

Commit Stats

Commits: 255
Authors: 8
Mean commits per author: 31.88
Development Distribution Score: 0.322
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/tbepler/topaz

Topics: cnn, cryo-em, cryoem, denoising, machine-learning, object-detection, particle-picking, positive-unlabeled, pytorch, topaz, topaz-denoise, topaz-em

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    Readme
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    Dependencies
    Dockerfile docker
    setup.py pypi