The Wayback Machine - https://web.archive.org/web/20200826083651/https://github.com/topics/transparency
Skip to content
#

transparency

Star

Here are 245 public repositories matching this topic...

Language: All
Filter by language
All 245 JavaScript 46 Python 41 Jupyter Notebook 13 HTML 12 PHP 12 CSS 11 Java 9 C 8 TypeScript 8 C++ 6
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

joedicastro / vps-comparison

Star

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

Star
Open

Get rid of styled-jsx

6
Betree
Betree commented Jun 30, 2020

According to https://github.com/opencollective/opencollective/blob/master/rfcs/002-styled-components.md, styled-components is the default way to write CSS in our frontend codebase, and it's mature enough to be the only one. However, there are still many places using styled-jsx which creates some inconsistencies and introduces [issues](https://github.com/opencollective/opencollective-frontend/b

Read more
complexity → medium frontend good first issue technical-debt
Find more good first issues →

globaleaks / GlobaLeaks

Star
Find more good first issues →

jphall663 / interpretable_machine_learning_with_python

Star

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 Aug 11, 2020
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the transparency topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the transparency topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.