Projects & Code
I build and contribute to open source projects spanning machine learning platforms, data science tools, and analytical applications. My repositories reflect practical experience across the full ML lifecycle—from research and experimentation to production systems.
Areas of Focus
- ML Platform Tools: Libraries and utilities for scalable machine learning infrastructure
- Data Science Applications: End-to-end analytical tools and workflows
- Scientific Computing: Computational tools for research and analysis
- Sports Analytics: Data visualization and statistical modeling for sports performance
Featured Projects
Bisi
Active
nrfrank/bisi • Python •
Updated
A Python package for advanced data processing and analysis. Provides utilities and tools for streamlined data workflows and analytical tasks.
⭐ 3 🍴 1 📄 MIT
Python Data Science Analytics NumPy Pandas
Category: Library
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MBBStats Dashboard
Archived
nrfrank/mbbstats-app • HTML •
Updated
AngularJS shot chart dashboard application for Duke basketball analytics. Interactive data visualization and performance tracking for collegiate basketball statistics.
📄 MIT
AngularJS JavaScript HTML CSS D3.js Sports Analytics Data Visualization
Category: Application
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All Projects
GRBA Integration
Maintenance
nrfrank/grba_integration • Python •
Updated
Functions to integrate structured gamma-ray burst afterglow profiles. Scientific computing tools for astronomical data analysis and modeling.
🍴 1 📄 Apache-2.0
Python Astrophysics Scientific Computing NumPy SciPy Matplotlib
Category: Research
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Basketball Analytics with Python
Maintenance
nrfrank/bas-2022-basketball-analytics-python • Python •
Updated
Comprehensive Python toolkit for basketball analytics and statistical modeling. Advanced data analysis, visualization, and predictive modeling for basketball performance metrics.
📄 MIT
Python Pandas NumPy Matplotlib Seaborn Scikit-learn Sports Analytics Machine Learning
Category: Tool
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