Displaying 1 to 5 from 5 results

cakechat - CakeChat: Emotional Generative Dialog System

  •    Python

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].

Rasa - Create chatbots and voice assistants

  •    Python

Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build chatbots on Facebook, Slack, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram etc. Rasa's primary purpose is to help you build contextual, layered conversations with lots of back-and-forth. To have a real conversation, you need to have some memory and build on things that were said earlier. Rasa lets you do that in a scalable way.

stealth - An open source Ruby framework for conversational voice and text chatbots. 🤖

  •    Ruby

Stealth is a Ruby based framework for creating conversational (voice & chat) bots. It's design is inspired by Ruby on Rails's philosophy of convention over configuration. It has an MVC architecture with the slight caveat that views are aptly named replies. Stealth is extensible. All service integrations are split out into separate Ruby Gems. Things like analytics and natural language processing (NLP) can be added in as gems as well.




api-ai-workshop - Dialogflow Workshop Material

  •    Go

Dialogflow Workshop Material. This can be used to create a Conversational Agent for a simple Linear Conversation using Dialogflow.





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