8000 GitHub - ashish-kamboj/mlops: Repository contains the detail about ML model deployment and building end-to-end ML pipeline for production
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Repository contains the detail about ML model deployment and building end-to-end ML pipeline for production

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ashish-kamboj/mlops

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Provide detail and implementation of different tools/libraries/frameworks for-

  • Experiment Tracking
  • Model Evaluation
  • Model Packaging
  • Model Versioning
  • Model Deployment
  • Model Monitoring
  • Model Orchestration and pipelining

Idea here is to provide the detailed implementation of building end-to-end ML pipeline and cover all the specifics about deploying the ML model in production and How to maintain it after that.

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Repository contains th 62FA e detail about ML model deployment and building end-to-end ML pipeline for production

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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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