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https://github.com/dpapathanasiou/export-import
Experiments in sequence to sequence learning (seq2seq) with recurrent neural networks (RNN) for automated document conversion
https://github.com/dpapathanasiou/export-import
deep-learning jupyter-notebook pytorch recurrent-neural-networks seq2seq
Last synced: about 2 months ago
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Experiments in sequence to sequence learning (seq2seq) with recurrent neural networks (RNN) for automated document conversion
- Host: GitHub
- URL: https://github.com/dpapathanasiou/export-import
- Owner: dpapathanasiou
- License: mit
- Created: 2020-05-10T22:34:21.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-11-24T23:03:39.000Z (about 4 years ago)
- Last Synced: 2023-03-22T13:04:45.772Z (almost 2 years ago)
- Topics: deep-learning, jupyter-notebook, pytorch, recurrent-neural-networks, seq2seq
- Language: Jupyter Notebook
- Size: 452 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0