GitHub / pycroscopy / atomai
Deep and Machine Learning for Microscopy
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pycroscopy%2Fatomai
PURL: pkg:github/pycroscopy/atomai
Stars: 213
Forks: 41
Open issues: 11
License: mit
Language: Python
Size: 216 MB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Commit Stats
Commits: 1262
Authors: 8
Mean commits per author: 157.75
Development Distribution Score: 0.465
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/pycroscopy/atomai
Topics: deep-kernel-learning, deep-learning, electron-microscopy, ensemble-learning, fully-convolutional-networks, google-colaboratory, imaging, jupyter-notebook, machine-learning, materials, materials-science, microscopy, multivariate-analysis, pytorch, scanning-probe-microscopy, semantic-segmentation, variational-autoencoders