https://github.com/tschechlovdev/ml2dac
Implementation of "ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analyses", published at SIGMOD 2023. The paper has awarded the "reproducibility" badge by SIGMOD's reproducibility reviewers.
https://github.com/tschechlovdev/ml2dac
automl clustering meta-learning paper python reproducible-research scikit-learn
Last synced: 8 months ago
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Implementation of "ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analyses", published at SIGMOD 2023. The paper has awarded the "reproducibility" badge by SIGMOD's reproducibility reviewers.
- Host: GitHub
- URL: https://github.com/tschechlovdev/ml2dac
- Owner: tschechlovdev
- Created: 2022-10-14T06:53:02.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-09-18T08:54:02.000Z (over 2 years ago)
- Last Synced: 2025-02-15T01:38:22.716Z (over 1 year ago)
- Topics: automl, clustering, meta-learning, paper, python, reproducible-research, scikit-learn
- Language: Jupyter Notebook
- Homepage: https://dl.acm.org/doi/10.1145/3589289
- Size: 45.8 MB
- Stars: 2
- Watchers: 1
- Forks: 3
- Open Issues: 0