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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Updated
Feb 25, 2026 - Python
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model-benchmark
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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
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Updated
Sep 17, 2026 - Python
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