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https://github.com/himalayaashish/anomaly-detection
This project focuses on implementing anomaly detection techniques using TensorFlow to identify outliers in various datasets. The model leverages deep learning algorithms, such as autoencoders and recurrent neural networks, to effectively recognize patterns and detect deviations from normal behavior. Optimized for performance.
https://github.com/himalayaashish/anomaly-detection
encoder encoder-decoder-architecture tensorflow tensorflow2 time-series
Last synced: 11 days ago
JSON representation
This project focuses on implementing anomaly detection techniques using TensorFlow to identify outliers in various datasets. The model leverages deep learning algorithms, such as autoencoders and recurrent neural networks, to effectively recognize patterns and detect deviations from normal behavior. Optimized for performance.
- Host: GitHub
- URL: https://github.com/himalayaashish/anomaly-detection
- Owner: himalayaashish
- Created: 2024-10-15T05:01:01.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-10-17T08:15:12.000Z (29 days ago)
- Last Synced: 2024-11-05T02:04:39.259Z (11 days ago)
- Topics: encoder, encoder-decoder-architecture, tensorflow, tensorflow2, time-series
- Language: Jupyter Notebook
- Homepage:
- Size: 3.28 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0