tensorlayer/seq2seq-chatbot

Chatbot in 200 lines of code using TensorLayer

43
/ 100
Emerging

Implements a sequence-to-sequence encoder-decoder architecture with attention mechanisms for conversational AI, trained on Twitter and Cornell Movie Dialogue datasets. Built on TensorFlow 2.0+ with TensorLayer abstractions to reduce boilerplate while maintaining interpretability. Demonstrates end-to-end training pipeline including data preprocessing, model compilation, and multi-turn response generation from a compact LSTM-based implementation.

842 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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Stars

842

Forks

309

Language

Python

License

Last pushed

Oct 05, 2021

Commits (30d)

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