AutoML
An automated Machine Learning pipeline for faster Data Science projects.
Using Evolutionary Algorithms for Neural Architecture Search and State-Of-The-Art data engineering techniques towards building an off the box machine learning solution.
The main usecases:
- Complete Machine Learning flow for small projects.
- Productivity tool for Data Scientists to figure out which model configurations work and which not.
On a high level, this is how the flow of the Pipeline works:
Feel free to cite this work
@INPROCEEDINGS{9266163,
author={M. {Anton}},
booktitle={2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)},
title={Automated Machine Learning using Evolutionary Algorithms},
year={2020},
volume={},
number={},
pages={101-107},
doi={10.1109/ICCP51029.2020.9266163}}
A short GIF presenting the Cloud based solution, available soon:
For usage examples check out the examples file.