fani-lab/OpeNTF
Neural machine learning methods for Team Formation/Recommendation problem.
This project helps researchers and data scientists working on automated team assembly. It takes large datasets of skilled individuals, their collaboration history, and task requirements, then outputs recommended teams. The primary users are academic researchers or industry professionals focused on developing and evaluating team formation algorithms.
Use this if you are a researcher or data scientist developing or benchmarking neural network models for recommending teams based on skills and collaboration.
Not ideal if you need an out-of-the-box solution for immediate team staffing in a business setting, as this is a research framework for model development.
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27
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17
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Jupyter Notebook
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Last pushed
Mar 09, 2026
Commits (30d)
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