https://github.com/jorisparet/partycls
Unsupervised learning of structure in systems of interacting particles.
https://github.com/jorisparet/partycls
Keywords
clustering machine-learning molecular-dynamics physics python
Last synced: 11 months ago
JSON representation
Acceptance Criteria
- Revelant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
Repository metadata
Unsupervised learning of structure in systems of interacting particles.
- Host: GitHub
- URL: https://github.com/jorisparet/partycls
- Owner: jorisparet
- License: gpl-3.0
- Created: 2021-06-13T15:57:24.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2023-11-13T17:01:18.000Z (over 1 year ago)
- Last Synced: 2024-04-25T19:00:49.042Z (about 1 year ago)
- Topics: clustering, machine-learning, molecular-dynamics, physics, python
- Language: Python
- Homepage: https://www.jorisparet.com/partycls/
- Size: 28 MB
- Stars: 11
- Watchers: 2
- Forks: 5
- Open Issues: 0
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata
- Name: Joris Paret
- Login: jorisparet
- Email:
- Kind: user
- Description: PhD in computational physics, with a strong interest in machine learning, deep learning and indie game development.
- Website: https://www.jorisparet.com
- Location: France
- Twitter:
- Company: ITER Organization
- Icon url: https://avatars.githubusercontent.com/u/57349320?u=6a048defe90ce34f138c8e4f26328c9988d6d51f&v=4
- Repositories: 6
- Last ynced at: 2023-05-07T12:24:45.946Z
- Profile URL: https://github.com/jorisparet
GitHub Events
Total
- Issues event: 11
- Watch event: 18
- Delete event: 6
- Issue comment event: 8
- Push event: 161
- Pull request event: 2
- Fork event: 5
- Create event: 19
Last Year
- Create event: 1
- Issue comment event: 1
- Issues event: 1
- Push event: 1
- Watch event: 1
Committers metadata
Last synced: 11 months ago
Total Commits: 491
Total Committers: 4
Avg Commits per committer: 122.75
Development Distribution Score (DDS): 0.126
Commits in past year: 2
Committers in past year: 1
Avg Commits per committer in past year: 2.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
Joris Paret | j****t@u****r | 429 |
Daniele Coslovich | 9****o@u****g | 37 |
Joris Paret | 5****t | 20 |
Joris Paret | j****t@g****m | 5 |
Committer domains:
Issue and Pull Request metadata
Last synced: 12 months ago
Total issues: 10
Total pull requests: 1
Average time to close issues: 8 days
Average time to close pull requests: 3 minutes
Total issue authors: 2
Total pull request authors: 1
Average comments per issue: 1.3
Average comments per pull request: 0.0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- govarguz (7)
- FTurci (3)
Top Pull Request Authors
- jorisparet (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 21 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 5
- Total maintainers: 1
pypi.org: partycls
Unsupervised learning of the structure of particulate systems
- Homepage: https://github.com/jorisparet/partycls
- Documentation: https://partycls.readthedocs.io/
- Licenses: GPLv3
- Latest release: 2.0.2 (published over 1 year ago)
- Last Synced: 2024-05-25T20:20:47.860Z (12 months ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 21 Last month
-
Rankings:
- Dependent packages count: 9.964%
- Forks count: 13.302%
- Stargazers count: 16.533%
- Average: 20.982%
- Dependent repos count: 21.791%
- Downloads: 43.319%
- Maintainers (1)
Dependencies
- atooms <3
- dscribe *
- matplotlib *
- mdtraj *
- numpy *
- ovito *
- py3Dmol *
- sklearn *
- numpy *
- sklearn *
- actions/checkout v2 composite
- actions/setup-python v2 composite
- nbsphinx *
- sphinx *
- sphinx-rtd-theme *
- sphinx_copybutton *
- sphinxcontrib-bibtex *
- h5py *
- networkx *
- tables *
Score: 6.919683849847411