All things open source for Johns Hopkins University
The Open Source Programs Office serves as a central hub, empowering the Hopkins community to create, contribute to, and benefit from the full potential of open source software.
Innovative open source projects from Johns Hopkins University
GitHub Training Opportunity: To help everyone gain the skills necessary to manage code developed in classes or labs, we are pleased to announce a new Git & GitHub training course […]
Gathering and analyzing massive data sets couldn’t happen without research software. Now, thanks to a $750,000 grant from the Alfred P. Sloan Foundation, the Johns Hopkins Open Source Programs Office, or OSPO, […]
The Open Source Programs Office at JHU is working to create a research software support network connecting research software engineers and researchers who develop software with essential support services across […]
QML-HCS is an open-source Python research framework for Quantum Machine Learning for Hypercausal Systems. It helps researchers experiment with adaptive machine learning models that respond to changing data over time using hypercausal feedback, future-state selection, temporal coherence, custom losses, and optimization tools. The framework is designed to complement quantum software platforms such as Qiskit and PennyLane and to support research in drift-aware, quantum-inspired learning systems.
NeuroCAPs is an open-source Python package that performs Co-Activation Patterns analysis on BIDS-compliant fMRI data.