Stars
Trabalho sobre Escalonamento de Disco (I/O) contida na matéria de Sistemas Operacionais referente ao 3° período de Engenharia de Software da PUC-MG
a truly censorship-resistant alternative to Twitter that has a chance of working
Examples of Data Science projects and Artificial Intelligence use-cases
Svelte implementation of the Carbon Design System
Text Classification Algorithms: A Survey
A Macintosh 3.1 styled webpage for Human Computer Interaction class
An AWS Lambda function that posts to mastodon once an hour with bongs
🐘🐦 Mastodon web UI, but strongly inspired by Twitter.
Tools for creating Gaia-X Credentials (OpenStack, k8s, ...)
Open-source software for volunteer computing and grid computing.
Your self-hosted, globally interconnected microblogging community
A list of various lists consisting of academics on Mastodon
Python library for interactive topic model visualization. Port of the R LDAvis package.
Open Source Serverless Computing for Data-Processing Applications
The Distributed Computing library for python implemented using PyCOMPSs programming model for HPC.
Project management and resource repository for the Autistica/Turing Citizen Science project
🔬 A repository of resources related to citizen, community-based and/or non-institutional science
ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-ident…
An open source threat modeling tool from OWASP
Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such…
A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.
xai4se / PyExplainer
Forked from awsm-research/PyExplainerPyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
Perform data science on data that remains in someone else's server
A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science
An open framework for Federated Learning.
Model extraction attacks on Machine-Learning-as-a-Service platforms.
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.