ricsinaruto/Seq2seqChatbots
A tensor2tensor wrapper for training and interacting with neural chatbot models using seq2seq and transformer architectures.
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This repository provides a flexible wrapper around TensorFlow’s tensor2tensor library to train, interact with, and generate data for neural chatbot systems. It integrates multiple dialogue datasets and supports any model or hyperparameter configuration available in tensor2tensor. The project includes a base class for dialog problems that can be easily extended for custom chatbot research and experimentation.
Frequently asked
- What is ricsinaruto/Seq2seqChatbots?
- A tensor2tensor wrapper for training and interacting with neural chatbot models using seq2seq and transformer architectures.
- Is Seq2seqChatbots open source?
- Yes — ricsinaruto/Seq2seqChatbots is open source, released under the MIT license.
- What language is Seq2seqChatbots written in?
- ricsinaruto/Seq2seqChatbots is primarily written in Python.
- How popular is Seq2seqChatbots?
- ricsinaruto/Seq2seqChatbots has 471 stars on GitHub.
- Where can I find Seq2seqChatbots?
- ricsinaruto/Seq2seqChatbots is on GitHub at https://github.com/ricsinaruto/Seq2seqChatbots.