JOSS: https://github.com/EhsanGharibNezhad/TelescopeML
astronomy atmospheric-modelling convolutional-neural-networks machine-learning star telescope
Score: 7.677863500678211
Last synced: about 12 hours ago
JSON representation
Repository metadata:
Deep Convolutional Neural Networks and Machine Learning Models for Analyzing Stellar and Exoplanetary Telescope Spectra
- Host: GitHub
- URL: https://github.com/EhsanGharibNezhad/TelescopeML
- Owner: EhsanGharibNezhad
- License: gpl-3.0
- Created: 2023-06-19T16:23:03.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-10-23T23:45:03.000Z (over 1 year ago)
- Last Synced: 2025-10-24T01:27:58.831Z (8 months ago)
- Topics: astronomy, atmospheric-modelling, convolutional-neural-networks, machine-learning, star, telescope
- Language: Python
- Homepage: https://ehsangharibnezhad.github.io/TelescopeML/
- Size: 262 MB
- Stars: 13
- Watchers: 4
- Forks: 18
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Owner metadata:
- Name: Ehsan (Sam) Gharib-Nezhad
- Login: EhsanGharibNezhad
- Email:
- Kind: user
- Description: Welcome to my data chamber! Data scientist at NASA Ames with 3+ years of experience in developing and vetting machine learning models
- Website: https://www.linkedin.com/in/ehsan-gharib-nezhad/
- Location: San Fransisco Bay Area, CA.
- Twitter: ExoEhsan
- Company: NASA Ames Research Center
- Icon url: https://avatars.githubusercontent.com/u/22139918?u=2443080e5cb22aa88b76f9bf8c8cb8baa830de2d&v=4
- Repositories: 1
- Last Synced at: 2023-03-20T23:22:42.590Z
- Profile URL: https://github.com/EhsanGharibNezhad
GitHub Events
Total
- Create event: 1
- Fork event: 1
- Push event: 2
- Watch event: 5
- Total: 9
Last Year
- Fork event: 1
- Watch event: 5
- Total: 6
Committers metadata
Last synced: 8 months ago
Total Commits: 421
Total Committers: 3
Avg Commits per committer: 140.333
Development Distribution Score (DDS): 0.048
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| EhsanGharibNezhad | e****d@g****m | 401 |
| Ehsan Gharib Nezhad | e****n@E****l | 19 |
| Natasha Batalha | n****a@g****m | 1 |
Issue and Pull Request metadata
Last synced: 10 months ago
Total issues: 0
Total pull requests: 155
Average time to close issues: N/A
Average time to close pull requests: about 7 hours
Total issue authors: 0
Total pull request authors: 15
Average comments per issue: 0
Average comments per pull request: 0.01
Merged pull request: 141
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 10
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: 10
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
Top Pull Request Authors
- EhsanGharibNezhad (157)
- mdhabibi (6)
- plaplant (4)
- abhinavish (2)
- MittelmanDaniel (2)
- snoopy202 (2)
- abhinavuppala (2)
- ericslu (2)
- tma66 (2)
- sscott108 (2)
- GdKent (1)
- sierrajanson (1)
- dfm (1)
- hussen2003 (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 29 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
pypi.org: telescopeml
An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results
- Homepage: https://ehsangharibnezhad.github.io/TelescopeML
- Documentation: https://telescopeml.readthedocs.io/
- Licenses: GPL-3.0
- Latest release: 0.0.5 (published about 2 years ago)
- Last Synced: 2025-10-30T04:26:42.776Z (8 months ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 29 Last month
-
Rankings:
- Dependent packages count: 9.204%
- Average: 38.72%
- Dependent repos count: 68.237%
- Maintainers (1)
Dependencies
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