Race tracks for FiveM
Real-time fraud detection ML serving system. Python (XGBoost, ONNX export) + Go (HTTP server with request batching, LRU cache, atomic model hot-swap, A/B traffic split, drift detection). 71k RPS at p95 <6ms on k6 load test, zero errors across 7.8M requests.
Reference implementation of the onX commerce standard — full storefront, admin, AI playground, and REST API with all 12 onX operations
Analysis of Road Networks Based on Graph Theory - 2023 - University of Padua
Checkpoint flags for racing
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