Automating Machine Learning Testing using GitHub Actions and DeepChecks
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Jul 16, 2024 - Python
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deepchecks
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Repository contains the detail about ML model deployment and building end-to-end ML pipeline for production
flask aws aws-lambda reactjs azure dynamodb boto3 codepipeline flask-api apache-airflow onnx ml-production mlops mlflow fastapi ml-pipeline onnxruntime mlops-workflow deepchecks evidentlyai
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Mar 14, 2026 - Jupyter Notebook
Modelling and prediction of default + deployment via AWS Sagemaker
python machine-learning aws-lambda xgboost boruta aws-sagemaker optuna xgboost-classifier deepchecks
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Dec 19, 2023 - HTML
A production-grade MLOps pipeline for image classification — featuring ZenML orchestration, MLflow tracking, DeepChecks validation, and automated model deployment.
computer-vision tensorflow image-classification model-deployment mlops mlflow streamlit pipeline-automation zenml deepchecks
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Oct 21, 2025 - Jupyter Notebook
Comparison between several Python data profile libraries.
reporting scikit-learn why automl reporting-tool ydata evidently scklearn deepchecks evidentlyai ydata-profiling
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Mar 1, 2024 - HTML
End-to-end MLOps pipeline for Telco Customer Churn. Hydra + DVC + MLflow + XGBoost (hyperopt-tuned with scale_pos_weight) + BentoML 1.2 service + GitHub Actions deploying to GHCR. Test-set-leakage-free training, 38 tests (Pandera + pytest-steps + Deepchecks + HTTP integration), all 8 phases adversarially reviewed by Opus.
python machine-learning pytest hydra xgboost hyperopt churn-prediction dvc mlops mlflow github-actions bentoml pandera ghcr mlops-template deepchecks
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May 25, 2026 - Python
"End-to-end MLOps pipeline for image classification using ZenML, MLflow, and TensorFlow. Features automated training, continuous deployment, drift detection with Deepchecks, and a Streamlit frontend."
computer-vision deep-learning continuous-deployment mlops mlflow streamlit zenml deepchecks pipeline-orchestration
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Jun 18, 2026 - Python
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