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DeepPavlov - An open source library for deep learning end-to-end dialog systems and chatbots.
Import key components to build HelloBot. Create skills as pre-defined responses for a user's input containing specific keywords. Every skill returns response and confidence.
bot nlp chatbot dialogue-systems question-answering chitchat slot-filling intent-classification entity-extraction named-entity-recognition keras tensorflow deep-learning deep-neural-networks intent-detection dialogue-agents dialogue-managercakechat - CakeChat: Emotional Generative Dialog System
It is written in Theano and Lasagne. It uses end-to-end trained embeddings of 5 different emotions to generate responses conditioned by a given emotion. The code is flexible and allows to condition a response by an arbitrary categorical variable defined for some samples in the training data. With CakeChat you can, for example, train your own persona-based neural conversational model[5] or create an emotional chatting machine without external memory[4].
conversational-ai conversational-agents conversational-bots dialogue-agents dialogue-systems dialog-systems nlp deep-learning seq2seq seq2seq-chatbot seq2seq-model theano lasagneTC-Bot - User Simulation for Task-Completion Dialogues
An implementation of the End-to-End Task-Completion Neural Dialogue Systems and A User Simulator for Task-Completion Dialogues. This document describes how to run the simulation and different dialogue agents (rule-based, command line, reinforcement learning). More instructions to plug in your customized agents or user simulators are in the Recipe section of the paper.
user-simulator nlg dialogue-agents nlu end-to-endConvAI-baseline - ConvAI baseline solution
Python packages will be installed by setup.sh script. Setup will download docker images, models and data files, so you have no need to download any of that by yourself.
natural-language-processing natural-language-understanding natural-language-generation dialogue-systems dialogue-agentsconvai-bot-1337 - Skill-based Conversational Agent for NIPS Conversational Intelligence Challenge 2017
Skill-based Conversational Agent that took 1st place at 2017 NIPS Conversational Intelligence Challenge (http://convai.io). We still update our Conversational Agent and the latest version could be found in master branch.
chatbot competition natural-language-processing deep-learning fasttext bigartm conversation dialogue-systems dialogue-agents
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