Skip to content
View pnxenopoulos's full-sized avatar

Block or report pnxenopoulos

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
pnxenopoulos/README.md

Hey there! πŸ‘‹

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

I'm Peter Xenopoulos. I'm a research scientist at NVIDIA, focusing on developing machine learning and visual analytics solutions for esports & sports. Previously, I led quantitative research for a sports betting exchange, worked with a professional baseball team (Phillies), analyzed companies for a top seed-stage venture capital fund (Tuesday VC), created data and modeling pipelines for an athlete investment fund (Big League Advance), and worked on the AI data science team at Facebook. I maintain the following projects:

  • πŸ‘©β€πŸ’» 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.
  • πŸ’Ύ 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.
  • πŸ“ˆ PyCalibrate, a visual analytics tool to analyze model calibration. This work was accepted to IEEE VIS 2022.
  • πŸ’‘ GALE, a technique to measure the similarity between sets of local explanations developed in collaboration with Capital One. Accepted for a spotlight talk at the TAGML workshop at ICML 2022.

Pinned Loading

  1. awpy awpy Public

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

    Python 394 58

  2. implied-rs implied-rs Public

    implied is a Rust library to work with odds and sports betting

    Rust 1

  3. esta esta Public

    Esports Trajectories and Actions (ESTA) dataset

    27 2

  4. cav-keras cav-keras Public

    Concept activation vectors for Keras

    Python 13 6