End-to-end MLOps project for cat-vs-dog classification with a custom ResNet-101, FastAPI, and Streamlit. Includes MLflow + DVC, modular Docker stages (ingest/train/deploy), Airflow orchestration, drift monitoring, quality gates, and auto-retrain/rollback workflows.
pytorch image-classification interpretability explainable-ai xai resnet101 integrated-gradients streamlit kernel-visualization
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Updated
May 25, 2026 - Python