transparency

Google Chromium, sans integration with Google

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.

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

Continuous distribution of funding to your project contributors and dependencies. Integrated into GitHub Actions

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

A survey of Brazilian states' and municipalities' transparency and open data portals, as well as institutional websites, obtained from several public data sources. 🇧🇷 Levantamento de portais estaduais e municipais de transparência e dados abertos, bem como os portais institucionais, obtido a partir de diversas fontes públicas de dados.

A web application to submit and view Freedom of Information Law requests

💀 Scripts for FOIA The Dead, a morbid transparency project

The very public stregsystem repo

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

This is the project page of our paper which has been published in ECCV 2020.

cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Legacy Futures-and-Options Combined, Supplemental Futures-and-Options Combined, Disaggregated Futures-only, Disaggregated Futures-and-Options Combined, Traders in Financial Futures (TFF) Futures-only and Traders in Financial Futures (TFF) Futures-and-Options Combined.

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

2021 AAAI Paper, "Bayes-TrEx: A Bayesian Sampling Approach to Model Transparency by Example"

Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.

Engine of our parliamentary monitoring platform

French societies accountability extraction and treatment by PapIT

BERT: Bert Explains Report's Transparency

Experimental certificate livestream using CaliDog/certstream-python and some rules to filter the feed

Daemon zum Abruf und zur Verarbeitung von Daten via OParl-API.