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https://github.com/tgsmith61591/smrt
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
https://github.com/tgsmith61591/smrt
autoencoder class-imbalance machine-learning neural-networks smote tensorflow vae variational-autoencoder
Last synced: 7 days ago
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Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
- Host: GitHub
- URL: https://github.com/tgsmith61591/smrt
- Owner: tgsmith61591
- License: bsd-3-clause
- Created: 2017-02-17T16:51:50.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-07-31T01:31:40.000Z (over 5 years ago)
- Last Synced: 2024-05-01T14:22:11.448Z (7 months ago)
- Topics: autoencoder, class-imbalance, machine-learning, neural-networks, smote, tensorflow, vae, variational-autoencoder
- Language: Python
- Homepage:
- Size: 81 MB
- Stars: 123
- Watchers: 5
- Forks: 27
- Open Issues: 2