Hyunsung Kim
@hyunsungkim-dsData Scientist at KAIST & Fitogether, interested in applying ML/DS to soccer
Language Breakdown
Lines of code distribution across 6 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
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Repos
12
PRs
0
Growth
+18%
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Contribution activity over the past year
Kibum Kim
@rlqja1107
Sungwon Kim
@sung-won-kim
Jiwan Kim
@ptkjw1997
Hoyoung Choi
@hoyoung3724
Sangwu Park
@sangwu99
Top Repositories
[KDD 2022] SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data
[MLSA 2025] ELASTIC: Event-Tracking Data Synchronization in Soccer Without Annotated Event Locations
[SSAC 2026] Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks
[KDD 2023] Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM
[KDD 2026] PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories
Metrica Sports sample tracking and event data
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
🏀 Visualization of NBA games from raw SportVU data logs
Luca Pappalardos code for working with and plotting Wyscout data
This repo is dedicated for people getting started with Python using the concepts derived from the book Soccermatics (Sumpter 2016)
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