Anthony Gitter

DataChat: https://datachat.ai/

We also need to define the word classifier the first time it is used. The term is used in the introduction lesson but introduced in the T cell lesson. Other...

A good summer exercise may be to spend a little time with each of these tools to see whether we would recommend them to participants once they have learned basic...

Let's avoid the word "classifying" in the definition. How about > predicting a category for the samples in the data set. In the house price example, the categories are high...

I looked at Voilà briefly, and my first impression is that this is different from Binder because it strips away all of the code and displays only the output of...

@cmilica found https://www.streamlit.io/ It builds interactive machine learning apps with compact Python scripts. The [gallery](https://www.streamlit.io/gallery) has lots of cool examples.

Milica has also been looking into interactive visualizations that teach machine learning concepts, such as https://thomas-tanay.github.io/post--L2-regularization/

Galaxy-ML is a relevant resource: - Preprint: https://doi.org/10.1101/2020.06.25.172445 - Website with training: https://galaxyproject.org/community/machine-learning/ - GitHub: https://github.com/goeckslab/Galaxy-ML

Gradio generates GUIs for machine learning models - Intro at https://twitter.com/abidlabs/status/1281385978507206662 - https://www.gradio.app/

PennAI has a graphical interface and supports AutoML: - http://epistasislab.github.io/pennai - https://doi.org/10.1093/bioinformatics/btaa698 The interface supports saving a trained model and exporting a script to reproduce the results, which we've discussed.