A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
Train and interact with neural chatbots using various datasets and models for better conversations.
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Free · no card · unsubscribe anytimeA wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
Seq2seqChatbots has 471 stars on GitHub. It has been forked 71 times. Seq2seqChatbots is written mainly in Python. It has been in active development since 2017. Seq2seqChatbots is available under the MIT license. Its main topics are chatbot, conversation, dataset, dialog.
A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
Seq2seqChatbots is an open-source project. It is released under the MIT license.
Yes. Seq2seqChatbots is free and open source — you can use, modify and self-host it.
Seq2seqChatbots is available under the MIT license.
Seq2seqChatbots is written mainly in Python.
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