palle-k / WWDC20

Winning WWDC20 Swift Student Challenge submission

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Swift Student Challenge 2020 Submission

This repository contains my WWDC20 Swift Student Challenge submission.

The submission has been granted a Swift Student Challenge award.

About

This playground uses a seq2seq model with attention to predict replies in a chat conversation.

A model that has been trained on the Chatterbot dataset has been added to the playground as a resource.

Technologies Used

  • SwiftUI for the chat user interface
  • DL4S (Deep Learning for Swift) is used as the deep learning framework that has been used to train and deploy the chatbot network
  • Combine is used for the view model
  • The output sequence is predicted using beam search

About

Winning WWDC20 Swift Student Challenge submission


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Language:Swift 100.0%