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pnxenopoulos/README.md

Hey there! 👋

Peter Xenopoulos Website Peter Xenopoulos Twitter Peter Xenopoulos LinkedIn Peter Xenopoulos Google Scholar

I'm Peter Xenopoulos. I'm a research scientist at NVIDIA, and my current interests fuse AI/ML and HCI. Previously, I led quantitative research for a sports betting exchange. My career spans a athlete investment fund, a professional sports team (go Phillies 🔔), and even a venture capital fund. I maintain the following projects:

  • boon, a Deadlock replay / demo file parser in Python, Rust, and also in your CLI. This is my main open source project at the moment!
  • 👩‍💻 awpy, a library to parse, analyze and visualize Counter-Strike demofiles. The project has spawned published papers in IEEE Big Data, ACM's WWW conference, and IJCAI. Note that I am no longer actively maintaining awpy.
  • 💾 ESTA, a large esports dataset, which contains 8.6m player actions, 7.9m game frames and 417k player trajectories from 1.5k professional CSGO matches.

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  1. boon boon Public

    A Deadlock demo / replay parser

    Rust 3

  2. awpy awpy Public

    Python library to parse, analyze and visualize Counter-Strike 2 data

    Python 557 81

  3. litebook litebook Public

    A fast limit order book in Python utilizing a Rust backend

    Python 1 1

  4. esta esta Public

    Esports Trajectories and Actions (ESTA) dataset

    50 4