UMN NSF HDR ML Challenge
NSF HDR ML challenge website: https://www.nsfhdr.org/mlchallenge
Winner Award:
💰 Total cash prizes $3000
👩🏽💻 $3000 in AWS cloud computing credits
🏅 Extra award sponsored by AMD (Details pending)
🎖️ Special jury prizes include funded invitations to AAAI 2025
Event Description:
The primary goal of the event is to introduce the NSF HDR ML Challenge which includes three anomaly detection ML challenge.
This introduction aims to encourage participants to work on the ML challenges and submit their final solutions on the respective Codabench pages:
(1) Butterfly Hybrid Detection
(2) Detecting Anomalous Gravitational Wave Signals
(3) iHARP HDR Anomaly Challenge: Detecting East Coast Sea-level Anomalies
Event details:
1. Each of the three ML challenges will be introduced. You are free to work on the one you like most (or all of them!).
2. Bring your own laptop.
3. Note: There are not GPU resources for model training. You can use free GPU resources such as CoLab or MSI.
4. Prior ML experience is recommended to complete model submissions and participate in the competition. Starter kits are provided for each challenge. Familiarity with Python is required.
