💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
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Updated
Jun 25, 2024 - Python
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations
CakeChat: Emotional Generative Dialog System
Welcome to the Bot Framework Solutions repository which is the home for a set of templates and solutions to help build advanced conversational experiences using Azure Bot Service and Bot Framework. Microsoft Bot Framework is a comprehensive framework for building enterprise-grade conversational AI experiences.
This repo contains implementation of different architectures for emotion recognition in conversations.
Enterprise-grade open source GUI platform for Rasa teams
RASA chatbot use case boilerplate
Dialogflow Web Integration. Supports rich components
This repository contains a new generative model of chatbot based on seq2seq modeling.
Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.
Conversational AI Platform to build effective Proactive Digital Assistants using Visual LLM Chaining
Attention-based multimodal fusion for sentiment analysis
An open source Ruby framework for text and voice chatbots. 🤖
Kotlin framework for conversational voice assistants and chatbots development
CORE is a plug-and-play conversational agent for any recommender system.
Virtual Assistant
Tutorial by JustinaPetr (https://vimeo.com/254777331 || https://github.com/JustinaPetr)
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Overview of venues, research themes and datasets relevant for conversational search.
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