practical_seq2seq
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
Quickly test and modify conversation models using a simple tool for sequence-to-sequence tasks.
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Free · no card · unsubscribe anytimeA simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
practical_seq2seq has 567 stars on GitHub. It has been forked 265 times. practical_seq2seq is written mainly in Jupyter Notebook. It has been in active development since 2016. practical_seq2seq is available under the GPL-3.0 license. Its main topics are chatbot, neural-conversation-models, seq2seq, tensorflow.
What is practical_seq2seq?
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
Is practical_seq2seq open source?
practical_seq2seq is an open-source project. It is released under the GPL-3.0 license.
Is practical_seq2seq free?
Yes. practical_seq2seq is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does practical_seq2seq use?
practical_seq2seq is available under the GPL-3.0 license.
What language is practical_seq2seq written in?
practical_seq2seq is written mainly in Jupyter Notebook.
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