My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Run a chatbot that can have conversations by predicting sentences based on a trained model using TensorFlow.
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DeepQA has 2.9k stars on GitHub. It has been forked 1.2k times. DeepQA is written mainly in Python. It has been in active development since 2016. DeepQA is available under the Apache-2.0 license. Its main topics are chatbot, deep-learning, seq2seq, tensorflow.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
DeepQA is an open-source project. It is released under the Apache-2.0 license.
Yes. DeepQA is free and open source — you can use, modify and self-host it.
DeepQA is available under the Apache-2.0 license.
DeepQA is written mainly in Python.
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