nicolas-ivanov/tf_seq2seq_chatbot
A TensorFlow-based seq2seq chatbot trained on movie subtitle corpora for conversational responses.
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This repository implements a sequence-to-sequence neural network chatbot in TensorFlow. It trains on a corpus of movie subtitles using encoder-decoder architecture to generate conversational responses. The project is marked as unmaintained and notes that results are unsatisfactory, with the developer seeking improvements on answer diversity and quality.
Frequently asked
- What is nicolas-ivanov/tf_seq2seq_chatbot?
- A TensorFlow-based seq2seq chatbot trained on movie subtitle corpora for conversational responses.
- Is tf_seq2seq_chatbot open source?
- Yes — nicolas-ivanov/tf_seq2seq_chatbot is an open-source project tracked on heatdrop.
- What language is tf_seq2seq_chatbot written in?
- nicolas-ivanov/tf_seq2seq_chatbot is primarily written in Python.
- How popular is tf_seq2seq_chatbot?
- nicolas-ivanov/tf_seq2seq_chatbot has 422 stars on GitHub.
- Where can I find tf_seq2seq_chatbot?
- nicolas-ivanov/tf_seq2seq_chatbot is on GitHub at https://github.com/nicolas-ivanov/tf_seq2seq_chatbot.