tensorlayer/seq2seq-chatbot

Chatbot in 200 lines of code using TensorLayer

43
/ 100
Emerging

This helps you quickly set up a basic conversational AI. You provide example conversations, and it learns to generate responses, acting like a simple chatbot. It’s ideal for developers who want to experiment with or build a foundational seq2seq chatbot.

842 stars. No commits in the last 6 months.

Use this if you are a developer looking for a minimal, working example of a sequence-to-sequence chatbot implementation to understand the basics or use as a starting point.

Not ideal if you need a production-ready, highly sophisticated chatbot with complex dialogue management, state tracking, or advanced natural language understanding.

chatbot-development conversational-ai natural-language-processing deep-learning-examples AI-prototyping
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

How are scores calculated?

Stars

842

Forks

309

Language

Python

License

Last pushed

Oct 05, 2021

Commits (30d)

0

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