Skip to content
#

reproducibleai

Here are 2 public repositories matching this topic...

Language: All
Filter by language
Quantum-AI-Hybrid-Cloud-Framework

A robust Python framework for Hybrid Quantum Machine Learning, combining PyTorch's deep learning power with PennyLane's quantum circuits. Engineered for research and production, it features modular architecture, seamless integration with real cloud hardware (IBM Quantum/AWS), and a containerized REST API for reliable model deployment.

  • Updated Jan 9, 2026
  • HTML

OrganismCore transforms reasoning into executable artifacts built on the Universal Reasoning Substrate (URS). Its purpose is to accelerate discovery by making reasoning itself a programmable, transmissible, and model-agnostic object.

  • Updated Jan 9, 2026
  • TeX

Improve this page

Add a description, image, and links to the reproducibleai topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the reproducibleai topic, visit your repo's landing page and select "manage topics."

Learn more