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joedicastro / vps-comparison

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A comparison between some VPS providers. It uses Ansible to perform a series of automated benchmark tests over the VPS servers that you specify. It allows the reproducibility of those tests by anyone that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.

python ansible cloud independence hosting vps comparison transparency reproducibility
  • Updated May 22, 2018
  • Python

opencollective / opencollective

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Toast notifications: implement dark theme

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Betree
Betree commented Mar 5, 2021

The toast notifications are easy to miss because they have a white background - like most of our pages. An alternative design was initially proposed, and we would like to experiment with it. The toast notification should ideally support both versions (depending on a variant prop) to be compliant with the design system (use https://styled-system.com/variants/).

**Preview of the current toast

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complexity → simple css enhancement frontend
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jphall663 / interpretable_machine_learning_with_python

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Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability
  • Updated Feb 10, 2021
  • Jupyter Notebook

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