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https://github.com/steq28/lstm-news-generator
LSTM-based language model trained on political news headlines to generate contextually relevant headlines. Features both standard and truncated BPTT training methods, with random and greedy text generation strategies. Built with PyTorch.
https://github.com/steq28/lstm-news-generator
Last synced: 12 days ago
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LSTM-based language model trained on political news headlines to generate contextually relevant headlines. Features both standard and truncated BPTT training methods, with random and greedy text generation strategies. Built with PyTorch.
- Host: GitHub
- URL: https://github.com/steq28/lstm-news-generator
- Owner: steq28
- License: mit
- Created: 2024-12-05T00:17:26.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-12-08T15:52:03.000Z (2 months ago)
- Last Synced: 2024-12-08T16:29:47.750Z (2 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 132 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0