https://github.com/vietanh152/astrophysical-objects-classification
Project applies machine learning techniques to classify astrophysical objects using observational data from the Large Synoptic Survey Telescope (LSST).
https://github.com/vietanh152/astrophysical-objects-classification
adaboost adaptive-boosting-algorithm down-sampling gradient-boosting keras machine-learning neural-network python scikit-learn static-analysis supervised-learning support-vector-machines time-series time-series-analysis
Last synced: 11 months ago
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Project applies machine learning techniques to classify astrophysical objects using observational data from the Large Synoptic Survey Telescope (LSST).
- Host: GitHub
- URL: https://github.com/vietanh152/astrophysical-objects-classification
- Owner: vietanh152
- Created: 2025-02-08T23:42:32.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-09T01:21:09.000Z (about 1 year ago)
- Last Synced: 2025-02-09T01:23:30.070Z (about 1 year ago)
- Topics: adaboost, adaptive-boosting-algorithm, down-sampling, gradient-boosting, keras, machine-learning, neural-network, python, scikit-learn, static-analysis, supervised-learning, support-vector-machines, time-series, time-series-analysis
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0