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USSiamaboat/README.md

I study Data Science @ UMich.

I'm currently interested in representation learning, applied ML for science, and model-based policy for imperfect information games.

Recently, I've been working on:

  • Online bayesian approaches for efficiently adaptive world models
  • Semi-self-supervised computer vision models for scientific applications @ UMich LSI
  • Cost-efficient automation and minimalist LLM integration for enterprise clients (NDA)
  • Applied data science for public health
  • Very low budget homelabbing for data collecting services

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  1. MichiganDataScienceTeam/W26-PaperZero MichiganDataScienceTeam/W26-PaperZero Public

    ML for origami

    Python 5 1

  2. MichiganDataScienceTeam/W25-mini-alphago MichiganDataScienceTeam/W25-mini-alphago Public

    AlphaGo for 9x9 Go from scratch

    Python 10 1

  3. polytuplet-loss polytuplet-loss Public

    A Reverse Approach to Training Reading Comprehension and Logical Reasoning Models

    Python 3 1

  4. MichiganDataScienceTeam/F25-Mini-Stocks MichiganDataScienceTeam/F25-Mini-Stocks Public

    High frequency trading from scratch

    Python 17 3