A framework for Privacy Preserving Machine Learning

PyBNesian is a Python package that implements Bayesian networks.

A Java Toolbox for Scalable Probabilistic Machine Learning

lightweight, standalone C++ inference engine for Google's Gemma models.

The official PyTorch implementation of Google's Gemma models

Monocular Depth Estimation via Poisson Image Editing, Segment Anything and Deep Learning

A library for federated learning (a distributed machine learning process) in an enterprise environment.

Stochastic Participant Selection on Dynamic Vertical FL System via Data Padding

Tool for testing programs with C/C++11 Atomics, Customised for Weak Memory

This repo contains a PDDL-based planning system for ROS2.