transparency

Google Chromium, sans integration with Google

Promoting Solutions that Improve Wellbeing, Freedom and Society

A curated list of awesome machine learning interpretability resources.

🔅 Shapash makes Machine Learning models transparent and understandable by everyone

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.

My public self and book of beliefs.

Ever® Gauzy™ - Open-Source Business Management Platform (ERP/CRM/HRM)

SmartSystemMenu extends system menu of all windows in the system

Tor2web is an HTTP proxy software that enables access to Tor Hidden Services by mean of common web browsers

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

H2O.ai Machine Learning Interpretability Resources

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Data from the largest and longest measurement of online tracking.

Unity material and shader for applying clipped, dithered transparency

Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.

Keeping tabs on the UK's parliaments and assemblies

Android video player with alpha channel (chroma key) support

Change NavigationBar's color and transparency 导航栏颜色渐变，通过给viewController添加属性，可方便控制title、item、导航栏颜色变化

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 place to store some examples which use Trillian APIs to build things.

Tools and libraries that deal with the creation and processing of images.

Official compliant tool suite for implementing the Transparency and Consent Framework (TCF) v2.0. The essential toolkit for CMPs.

A library that implements fairness-aware machine learning algorithms

🎥 Graphics Kernel: flexible, highly configurable, extensible render engine (realtime + offline)

Deep links to opt-out of data sharing by 50+ companies.

Track the french law-making process

nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.