COLLAPSE – CollabOrative fuLL-stAck Platform data Science dEvelopment

Description:

The goal of this project is to develop an integrated solution that creates a streamlined process for data science teams, supporting their work by facilitating:

- Data annotation;
- Collaboration;
- Data versioning;
- Experiment tracking;
- Results reproducibility;
- Models deployment.

A state of the art showing the trends on these topics as well as the existing technologies should be performed and the final solution will draw upon existing open source software. Validation of the solution will be important to ensure the objectives have been met.

 

Outcome:

A platform to support data science projects and a streamlined process that facilitates:
- Data annotation;
- Collaboration;
- Data versioning;
- Experiment tracking;
- Results reproducibility;
- Models deployment.

Author: Joaquim Santos

Type: MSc thesis

Partner: FEUP – Faculdade de Engenharia da Universidade do Porto

Year: 2021