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GitHub / ArdaGen / 4D-STEM-neural-diffraction-pattern-recognition-tempo4d

High-throughput analysis of Bragg discs from 4D-STEM datasets using ML object detection.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArdaGen%2F4D-STEM-neural-diffraction-pattern-recognition-tempo4d
PURL: pkg:github/ArdaGen/4D-STEM-neural-diffraction-pattern-recognition-tempo4d

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 7.17 MB
Dependencies parsed at: Pending

Created at: about 2 months ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: 7 days ago

Topics: 4d-stem, electron-diffraction-data, electron-microscopy, machine-learning, object-detection, orientation-maps, phase-mapping, transmission-electron-microscopy, yolov8

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