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Achievement: Starstruckx3Achievement: Pull Shark

Achievements

Achievement: Starstruckx3Achievement: Pull Shark

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@neu-spiral

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mlpotter/README.md

Hi, I'm Michael Potter, an aspiring dilettante with no direction or aim.

Google Scholar

I am a Ph.D. student interested in Bayesian statistics, Bayesian neural networks robotics, deep learning , machine learning, and tracking algorithms advised by Prof. Deniz Erdogmus and co-advised by Prof. Michael Everett at Northeastern University (NU). I previously earned an M.S. from UCLA and both an M.S. and B.S. from Northeastern University.

My main expertise has revolved around :

  1. Bayesian Statistics
  2. Survival Analysis
  3. Recommendation Systems
  4. Low Dimensional Dynamic Embeddings
  • 👨🏽‍💻 I’m currently working on my PhD at Northeastern University;
  • 🌱 I’m currently learning NeRF, Real Analysis, Bayesian Neural Networks, and SLAM;
  • 👯 I’m looking to collaborate on research ideas 🤝 and I am always looking for research internships;
  • 📫 How to reach me: [email protected];

Languages and Tools:

Michael's github stats



Pinned Loading

  1. Transformer_Time_Series Transformer_Time_Series Public

    Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

    Jupyter Notebook 582 100

  2. NextItNet NextItNet Public

    PyTorch implementation of NextItNet from "A Simple Convolutional Generative Network for Next Item Recommendation".

    Python 8 3

  3. mcgridles/LENS mcgridles/LENS Public

    Low-light Environment Neural Surveillance (LENS)

    Python 9 4

  4. yashlala/attentive-session-based-recs yashlala/attentive-session-based-recs Public

    CS 249 Project.

    Jupyter Notebook 6 3

  5. Hyperdimensional_Character_Recognition Hyperdimensional_Character_Recognition Public

    Apply Hyperdimensional Computing techniques to perform classification on the MNIST dataset (28x28 version and 8x8 version).

    Python 3

  6. SplitLearning SplitLearning Public

    Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd

    Python 25 3