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bangyen/README.md

Hey, I’m Bangyen

I build systems that blend AI, distributed computing, and optimization.

Featured Projects

  • ZSharp: +5.26% accuracy and 4.4× faster training with Sharpness-Aware Minimization, Apple Silicon optimized.
  • Oligopoly: 98.5% collusion detection, 1e-6 precision, and 72.3% strategy adaptation in advanced economic simulations.

Publications

  • Generalized Collective Algorithms for the Exascale Era — CLUSTER 2023
  • Revisiting Computation for Research: Practices and Trends — SC 2024

Quick Links

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  1. zsharp zsharp Public

    Sharpness-Aware Minimization with Z-Score filtering, achieving +5.26% accuracy with 4.39x Apple Silicon optimization and full reproducibility.

    Python 1

  2. leansharp leansharp Public

    Formal verification of Z-Score filtered Sharpness-Aware Minimization (SAM) implemented within the Lean 4 interactive theorem prover environment.

    Lean

  3. chess chess Public

    Explainable engine achieving 86.7% decisive faithfulness and 2.5 sparsity explanations via Rust-accelerated Stockfish probes and total position coverage.

    Rust

  4. ocamlgpt ocamlgpt Public

    A minimalist, bit-faithful OCaml distillation of Karpathy’s microgpt featuring idiomatic functional records and a zero-dependency, single-file architecture.

    OCaml

  5. oligopoly oligopoly Public

    Advanced market simulation featuring validated collusion detection, research-grade precision (1e-6), and Q-learning for adaptive strategy evolution.

    Python 1

  6. wikipedia wikipedia Public

    AI-driven article maturity scoring utilizing robust feature extraction, LightGBM calibration, and deployment-ready FastAPI and CLI interfaces.

    Python