MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization

Python package for visualizing the loss landscape of parameterized quantum algorithms.

Guiding principles that serve as a blueprint for decision-making when developing and designing products at Audiense

Core Orquestra meta-package

📖 A collection of .design contribution guidelines intended to work on every project – no matter the size/complexity.

Compose computational workflows from Python

SyDnt Creative - a Graphic Designer, Video Editor, and Product Development

Orquestra resource for qiskit integrations

Orquestra Resource for QCBM Calculations

A resource to welcome people to Orquestra.

Pack for quantum machine learning

An open-source, detailed blueprint for implementing highly scalable swarms of specialized AI Agents in enterprise product development, emphasizing parallelization, robust governance, compliance, and minimal human oversight

University of Alberta Specialization Certificate in Agile Software Product Management: Capstone Bodleian Project

Internal Product development applications for businesses.