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Updated
Jul 14, 2021 - Python
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Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations
Rasa UI is a frontend for the Rasa Framework
building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)
Enterprise-grade open source GUI platform for Rasa teams
turn natural language into structured data(支持中文,自定义了N种模型,支持不同的场景和任务)
Visualizations and helpers to improve and debug machine learning models for Rasa Open Source
RASA chatbot use case boilerplate
LockeBot: a demonstration of implementing a basic question answering bot with use of Rasa and a database
voice services stack from audio hardware through hotword, ASR, NLU, AI routing and TTS bound by messaging protocol over MQTT
Chatbot with bert chinese model, base on rasa framework(中文聊天机器人,结合bert意图分析,基于rasa框架)
Virtual Assistant
Clofus® Chat bot Platform using rasa core and rasa nlu similar to rasa x but opensource demo https://clofus.github.io/clofus-chatbot/
Users misspell things. Having spell-check and synonyms helps a lot, but doesn't catch everything.
One solution would be to use the python metaphone package's implementation of the Double Metaphone algorithm.
At component train time, it could look at the normal entity lists, find the DM representation of all the synonyms, and store them.
Tool suite built on RASA to train and deploy your chatbots using advanced NLP
Tutorial for BERT (and other transformer) embeddings with spaCy and Rasa
Open source projects related to Snips https://snips.ai/.
采用nlp-architect实现rasa-nlu中文意图提取和槽填充
Code here was demonstration of article in Analytics Vidhya, written in 2017. Over time RASA APIs have changed. So need to update code accordingly.
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