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Ensemble learning related books, papers, videos, and toolboxes

License: MIT License

Python 100.00%
machine-learning data-mining ensemble-learning ensembling data-science

awesome-ensemble-learning's Introduction

😄 I am an Assistant Professor at USC Computer Science; see more information at my homepage.

Prospective Students. Openings and Timeline for PhD Offer. I am peacefully looking for Ph.D. students (from Fall 25) and interns (no earlier than Fall 2024). I prepared a procedure for the USC CS Ph.D. offer process and funding. See more at my homepage.

🌱 Research Interests. I build reproducible, automated, and scalable machine learning (ML) and data mining (DM) benchmarks, algorithms, and systems, with a focus on but not limited to anomaly detection, graph neural networks, ML systems, and AI for healthcare, security, and finance.

  1. Benchmark various learning algorithms for fair evaluation and new insights.
  2. Automate ML by model selection and hyperparameter optimization.
  3. Design large-scale ML systems for real-world applications.
  4. Develop open-source ML tools to support applications in healthcare, finance, security, and more.

Open-source Contribution: I created PyOD (used by NASA, Tesla, Morgan Stanley, and more) - the most popular library for anomaly detection in 2017. Also, I have led more than 10 ML open-source initiatives, receiving 20,000 GitHub stars (top 0.002%) and >20M downloads. Popular ones: PyOD, PyGOD, TDC, ADBench

📫 Contact me by:


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