Neural conversational model based on DSSM architecture and HNSW.
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Updated
Mar 20, 2021 - Jupyter Notebook
Neural conversational model based on DSSM architecture and HNSW.
Neural Conversation Model Based on Pytorch.
Tensorflow chatbot based on the seq2seq model, trained on a twitter chat log
this repository concedes my project work done in my bachelors
OpenNMT based Neural Conversation model which implements Topic and Semantic Distributional Constraints to improve quality of generated responses
An AI chatbot using seq2seq
Datasets for Deep learning Personas
A Neural Network based Chatbot
Tensorflow based Neural Conversation Models
A Paper List for Open-Domain Dialogue Generation, and related datasets.
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
Neural conversational model in Torch
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