Public report and aggregate evidence for LayerRail's July 2026 frontier-model deployment study
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Jul 30, 2026
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model-benchmark
Here are 4 public repositories matching this topic...
Healthcare demand forecasting and staffing decision platform (PoC): a 13-model benchmark (baselines, SARIMAX, Prophet, global gradient boosting, Nixtla Stats/ML/Neural, Chronos), conformal prediction intervals, rolling-origin backtesting, a costed staffing layer, batch pipeline, FastAPI serving, monitoring and responsible-ML docs.
python data-science machine-learning time-series scikit-learn healthcare xgboost forecasting lightgbm uncertainty-quantification prophet sarimax portfolio-project time-series-forecasting conformal-prediction mlops fastapi nixtla staffing-optimization model-benchmark
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Jun 20, 2026 - Jupyter Notebook
Native macOS menu-bar watcher for AI Stupid Level: top 20, value rankings, GPT/Claude clusters, C/R/T signals, and a notch island.
macos swift ai leaderboard openai gpt model-evaluation notch claude swiftui menubar-app llm model-benchmark model-ranking aistupidlevel
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Aug 14, 2026 - Swift
This script cleans passenger data, creates family features, tests eight models including XGBoost and CatBoost, and combines their votes to predict survival.
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Feb 25, 2026 - Python
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