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model-benchmark

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anujmundu / Image-Classification-using-Neural-Network

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End-to-end Deep Learning Vision Benchmark evaluating 11 architectures across 5 paradigms. Features Soft-Voting Ensemble (98.92% Top-5), ONNX INT8 Quantization (3.01x speedup), Grad-CAM XAI, FastAPI microservice, and live Streamlit Arena.

python docker computer-vision deep-learning grad-cam pytorch ensemble-learning resnet quantization strea xai fastapi streamlit onnx-runtime vision-transformer convnext effientnet model-benchmark
  • Updated Sep 17, 2026
  • Python

DiogoRibeiro7 / clinic-forecasting-platform

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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
  • Updated Sep 9, 2026
  • Jupyter Notebook

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