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Find grants, fellowships, and sponsorships to support open source work Latest from the OSPO blog RSSN August 2026 Service Provider Convening – Event SummaryPosted on by Megan Forbes
On Thursday, August 6th, we were delighted to welcome 36 participants from eight Hopkins divisions to the first convening of service providers for the Research Software Support Network. During our […]  Updates from the OSPOPosted on by Megan Forbes
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 […]  OSPO receives grant to establish Research Software Support NetworkPosted on by Megan Forbes
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, […] Latest additions to the Project Catalog
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ResultsQML-HCS: Quantum Machine Learning Hypercausal SystemsQML-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. NeuroCAPsNeuroCAPs is an open-source Python package that performs Co-Activation Patterns analysis on BIDS-compliant fMRI data. |
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