https://github.com/pycroscopy/atomai

Deep and Machine Learning for Microscopy
https://github.com/pycroscopy/atomai

Keywords

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

Keywords from Contributors

infrared spectroscopy measurements

Last synced: about 1 year ago
JSON representation

Acceptance Criteria

Repository metadata

Deep and Machine Learning for Microscopy


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: about 1 year ago

Total Commits: 1,262
Total Committers: 8
Avg Commits per committer: 157.75
Development Distribution Score (DDS): 0.465

Commits in past year: 10
Committers in past year: 2
Avg Commits per committer in past year: 5.0
Development Distribution Score (DDS) in past year: 0.4

Name Email Commits
ziatdinovmax z****x@g****m 675
Maxim Ziatdinov 3****x 563
Ayana Ghosh r****h@g****m 13
ahoust17 8****7 6
Arpan Biswas a****2@g****m 2
Miguel Fuentes-Cabrera m****a@g****m 1
Ayana Ghosh 7****2 1
The Codacy Badger b****r@c****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: over 1 year ago

Total issues: 14
Total pull requests: 69
Average time to close issues: 1 day
Average time to close pull requests: about 8 hours
Total issue authors: 9
Total pull request authors: 7
Average comments per issue: 1.14
Average comments per pull request: 0.43
Merged pull request: 66
Bot issues: 0
Bot pull requests: 0

Past year issues: 6
Past year pull requests: 10
Past year average time to close issues: 1 day
Past year average time to close pull requests: about 9 hours
Past year issue authors: 5
Past year pull request authors: 3
Past year average comments per issue: 1.33
Past year average comments per pull request: 0.6
Past year merged pull request: 9
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/pycroscopy/atomai

Top Issue Authors

  • ziatdinovmax (5)
  • ramav87 (2)
  • darianSmalley (1)
  • ercius (1)
  • jamesafranke (1)
  • kevinroccapriore (1)
  • markcoletti (1)
  • miaoleixin1994 (1)
  • tommycwong (1)

Top Pull Request Authors

  • ziatdinovmax (58)
  • aghosh92 (5)
  • ahoust17 (2)
  • saimani5 (1)
  • gitter-badger (1)
  • arpanbiswas52 (1)
  • tommycwong (1)

Top Issue Labels

  • help wanted (4)
  • enhancement (4)
  • good first issue (2)
  • bug (2)

Top Pull Request Labels

  • enhancement (1)

Package metadata

proxy.golang.org: github.com/pycroscopy/atomai

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/pycroscopy/atomai#section-documentation
  • Licenses: mit
  • Latest release: v0.7.8 (published almost 2 years ago)
  • Last Synced: 2024-05-16T06:24:13.270Z (about 1 year ago)
  • Versions: 29
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 9.049%
    • Average: 9.627%
    • Dependent repos count: 10.204%
pypi.org: atomai

Deep and machine learning for atom-resolved data

  • Homepage: https://github.com/pycroscopy/atomai/
  • Documentation: https://atomai.readthedocs.io/
  • Licenses: MIT license
  • Latest release: 0.7.8 (published almost 2 years ago)
  • Last Synced: 2024-05-16T06:24:10.171Z (about 1 year ago)
  • Versions: 29
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 530 Last month
  • Rankings:
    • Stargazers count: 5.546%
    • Forks count: 6.769%
    • Dependent packages count: 10.082%
    • Average: 11.373%
    • Downloads: 12.85%
    • Dependent repos count: 21.62%
  • Maintainers (1)

Dependencies

.github/workflows/actions.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v1 composite
requirements.txt pypi
  • flake8 >=3.7.9
  • gdown >=3.8.1
  • gpytorch >=1.4.0,<1.7.0
  • matplotlib >=3.1.1
  • mendeleev <=0.6.1
  • networkx >=2.5
  • numpy >=1.16.4
  • opencv-python >=4.1.0
  • progressbar2 >=3.38.0
  • scikit-image >=0.16.2
  • scikit-learn >=0.22.1
  • scipy >=1.3.0
  • setuptools >=41.0.1
  • torch >=1.8.0
  • torchvision >=0.9.0
requirements_rtd.txt pypi
  • gpytorch >=1.4.0
  • matplotlib >=3.1.1
  • mendeleev <=0.6.1
  • numpy >=1.16.4
  • opencv-python >=4.1.0
  • progressbar2 >=3.38.0
  • recommonmark >=0.6.0
  • scikit-image >=0.16.2
  • scikit-learn >=0.22.1
  • scipy >=1.3.0
  • setuptools >=41.0.1
  • sphinx >=3.0.0
  • sphinx_autodoc_typehints >=1.11.0
  • sphinx_rtd_theme >=0.5.0
setup.py pypi
  • gpytorch >=1.9.1
  • matplotlib >=3.4
  • mendeleev <=0.6.1
  • networkx >=2.5
  • numpy >=1.18.5
  • opencv-python >=4.1.0
  • progressbar2 >=3.38.0
  • scikit-image >=0.16.2
  • scikit-learn >=0.22.1
  • scipy >=1.3.0
  • torch >=1.0.0
  • torchvision >=0.13.0

Score: 13.60835845906811