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Jithsaavvy / Deploying-an-end-to-end-keyword-spotting-model-into-cloud-server-by-integrating-CI-CD-pipeline

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The project is a concoction of research (audio signal processing, keyword spotting, ASR), development (audio data processing, deep neural network training, evaluation) and deployment (building model artifacts, web app development, docker, cloud PaaS) by integrating CI/CD pipelines with automated tests and releases.

docker flask deep-neural-networks ci-cd python3 deeplearning asr heroku-deployment kws mlops mlflow dockercontainers github-actions tensorflow2 cnn-lstm-models mlops-workflow mlops-project
  • Updated Sep 4, 2022
  • PureBasic

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