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
- Revelant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
Repository metadata
Deep and Machine Learning for Microscopy
- Host: GitHub
- URL: https://github.com/pycroscopy/atomai
- Owner: pycroscopy
- License: mit
- Created: 2020-09-04T06:08:25.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2024-02-06T23:09:41.000Z (over 1 year ago)
- Last Synced: 2024-05-16T06:23:21.888Z (about 1 year ago)
- 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
- Language: Python
- Homepage: https://atomai.readthedocs.io/
- Size: 194 MB
- Stars: 181
- Watchers: 11
- Forks: 37
- Open Issues: 10
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata
- Name: pycroscopy
- Login: pycroscopy
- Email: [email protected]
- Kind: organization
- Description:
- Website: https://pycroscopy.github.io/pycroscopy/ecosystem.html
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/19730394?v=4
- Repositories: 17
- Last ynced at: 2023-03-04T03:40:40.320Z
- Profile URL: https://github.com/pycroscopy
GitHub Events
Total
- Create event: 27
- Commit comment event: 2
- Issues event: 21
- Release event: 12
- Watch event: 164
- Member event: 1
- Issue comment event: 46
- Push event: 253
- Pull request review event: 14
- Pull request event: 134
- Fork event: 31
Last Year
- Commit comment event: 2
- Create event: 4
- Fork event: 10
- Issue comment event: 15
- Issues event: 10
- Pull request event: 17
- Pull request review event: 4
- Push event: 85
- Release event: 1
- Watch event: 50
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 | 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:
- codacy.com: 1
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
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
- Total packages: 2
-
Total downloads:
- pypi: 530 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 1 (may contain duplicates)
- Total versions: 58
- Total maintainers: 1
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
- actions/checkout v2 composite
- actions/setup-python v2 composite
- codecov/codecov-action v1 composite
- 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
- 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
- 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