Saga: An Open Source Platform for Training Machine Learning Models and Community-driven Sharing of Techniques
Rune Johan Borgli, Håkon Kvale Stensland, Pål Halvorsen, Michael Alexander Riegler · 2019
With the increasing popularity of machine learning in areas such as multimedia indexing and social media analysis, comes an increasing number of tools for developing and training the machine learning models. These tools assist in the selection and optimization of hyperparameters, but the user becomes locked into the platform's built-in solutions. Therefore, this demo presents an open-source, community-driven platform for sharing machine learning models, training techniques, and datasets. The platform, called Saga, provides a machine learning training pipeline such as those found in machine learning services provided by cloud providers. However, Saga also provides a store where users can upload and share their machine learning training methods. Additionally, the store allows users to rate and comment on other users' uploaded methods, as well as download and run them without any additional setup. In our demo, we will run a scenario where a user wants to train an image classifier using Saga. The demonstration will involve downloading methods from the store and displaying the pipeline provided by the Saga platform.