# A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

arXiv: https://arxiv.org/abs/1803.04818 · HTML: https://mlsanity.com/paper/1803.04818/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Mar 2018.

## Built on by (most cited first, 5 of 5)

- [A Survey on Uncertainty Toolkits for Deep Learning](https://mlsanity.com/paper/2205.01040/) (2022)
- [YATO: Yet Another deep learning based Text analysis Open toolkit](https://mlsanity.com/paper/2209.13877/) (2022)
- [A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)](https://mlsanity.com/paper/2406.19054/) (2024)
- [A Statistician Teaches Deep Learning](https://mlsanity.com/paper/2102.01194/) (2021)
- [A Virtual Reality Tool for Representing, Visualizing and Updating Deep Learning Models](https://mlsanity.com/paper/2305.15353/) (2023)

## Abstract (arXiv)

This paper provides an overview of prominent deep learning toolkits and, in particular, reports on recent publications that contributed open source software for implementing tasks that are common in intelligent user interfaces (IUI). We provide a scientific reference for researchers and software engineers who plan to utilise deep learning techniques within their IUI research and development projects.