Google Chromium, sans integration with Google
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Updated
May 24, 2024 - Python
Google Chromium, sans integration with Google
Fit interpretable models. Explain blackbox machine learning.
A curated list of awesome responsible machine learning resources.
Ever® Gauzy™ - Open Business Management Platform (ERP/CRM/HRM)
We're tracking all our Issues, RFCs and a few other documents in this repository.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Tor2web is an HTTP proxy software that enables access to Tor Hidden Services by mean of common web browsers
My public self and book of beliefs.
Promoting Solutions that Improve Wellbeing, Freedom and Society
H2O.ai Machine Learning Interpretability Resources
SmartSystemMenu extends system menu of all windows in the system
Official compliant tool suite for implementing the Transparency and Consent Framework (TCF) v2.0. The essential toolkit for CMPs.
This script for the Scriptable app creates widget backgrounds that appear to be transparent. You can also optionally emulate the light or dark blur effect used in the Batteries widget from Apple.
A toolkit that streamlines and automates the generation of model cards
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.
Tools and libraries that deal with the creation and processing of images.
Data from the largest and longest measurement of online tracking.
A national archive of police data collected by journalists, lawyers, and activists around the country.
A place to store some examples which use Trillian APIs to build things.
Add a description, image, and links to the transparency topic page so that developers can more easily learn about it.
To associate your repository with the transparency topic, visit your repo's landing page and select "manage topics."