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emirceyani/README.md

Hi, I'm Emir Ceyani, an aspiring machine learning researcher and a PhD student from Los Angeles, CA ๐Ÿ‡บ๐Ÿ‡ธ.

Twitter

I am a Ph.D. student interested in deep learning , machine learning theory, federated learning, and Bayesian neural networks under the leadership of Prof. Salman Avestimehr at University of Southern California(USC). I also am an active contributor to FedML library. During my M.Sc. at Bilkent University, I was a research engineer at Turkcell Technologies, Istanbul,๐Ÿ‡น๐Ÿ‡ท.

My main expertise has revolved around :

  1. Federated learning
  2. Graph neural networks
  3. Bayesian deep learning
  4. Probabilistic deep generative models(VAE, NF,...) & variational inference methods
  5. Spatio-temporal forecasting with deep learning
  • ๐Ÿ‘จ๐Ÿฝโ€๐Ÿ’ป Iโ€™m currently working on my PhD on federated machine/deep learning ;
  • ๐ŸŒฑ Iโ€™m currently learning meta learning, Bayesian non-parametrics, neural architecture search, and personalisation algortihms;
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on research ideas ๐Ÿค and I am always looking for research internships;
  • ๐Ÿ“ซ How to reach me: ceyani@usc.edu;

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  1. FedML-AI/FedML FedML-AI/FedML Public

    FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs oโ€ฆ

    Python 4k 768

  2. FedML-AI/SpreadGNN FedML-AI/SpreadGNN Public

    SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.

    Python 50 8

  3. Oxfordblue7/FedGrAINS Oxfordblue7/FedGrAINS Public

    Jupyter Notebook

  4. neetcode-gpt neetcode-gpt Public

    GPT built from scratch โ€” assembled from my NeetCode ML course submissions

    Python