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

Android Certification Tools

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

A small query builder project designed to assist daily routines and speed up the process of communicating with the database.

Open-source operations manual for Countable Web Productions Inc.

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

A Simple Theme Based On The New Windows 11! With Rounded Edges To Every Element Matching In Colour With Dark/Light Mode Variations & Border Radius' To Go Along With The Overall Theme, Enjoy! :)

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

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

Fit interpretable models. Explain blackbox machine learning.

Internal documentation of the DSF Code of Conduct committee

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.

Cityvizor je aplikace pro všechny, které zajímá hospodaření obcí v ČR – pro občany, zastupitele, pracovníky obce i novináře. Přináší přehlednou vizualizaci rozpočtu obce s detailními daty, která jsou získávána přímo z jejích účetních systémů a následně zobrazována přehledně, srozumitelně a v souvislostech.

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.

H2O.ai Machine Learning Interpretability Resources

Data from the largest and longest measurement of online tracking.

A library that implements fairness-aware machine learning algorithms

Shapash makes Machine Learning models transparent and understandable by everyone

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

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/