Kevin Robinson
kevinrobinson
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Embracing the log for UI engineering
How well does your Teachable Machine model generalize to new image searches?
What do Teachable Machine models see when people are composited into different backgrounds?
How could concepts trained on top of your Teachable Machine model help you explore bias within your model?
How well does your Teachable Machine model perform on a generalization data set?
image-search-experiment
Repositories
158How well does your Teachable Machine model generalize to new image searches?
What do Teachable Machine models see when people are composited into different backgrounds?
How could concepts trained on top of your Teachable Machine model help you explore bias within your model?
How well does your Teachable Machine model perform on a generalization data set?
image-search-experiment
youtube-classifier-experiment
(forked from https://gitlab.com/commento/commento)
For Girls Who Code workshop on the Twitter API
psychic-octo-cyril
Hacking on an EdX challenge (http://databits.io/challenges/edx-learning-dashboard-challenge)
No description provided.
Embracing the log for UI engineering
CircleCI's frontend
The Open edX platform, the software that powers edX!
No description provided.
Tensorflow's Fairness Evaluation and Visualization Toolkit
No description provided.
Modifying parable of polygons skeleton code
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
(experiment)
experiment
No description provided.
A collection of experiments for exploring how music works, all built with the Web Audio API.
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
A React project for experimenting with https://github.com/kevinrobinson/services-edu to do things like search for images, search for videos, send text messages, and reply to incoming text messages.
experimenting with comments
make it up as you go
No description provided.
Why Momentum Really Works
experiment adding 10% noise to FairVis, because humans