Deploying speech recognition models at scale

This page summarizes the projects mentioned and recommended in the original post on /r/mlops

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  • wenet

    Production First and Production Ready End-to-End Speech Recognition Toolkit

    Try wenet wenet

  • paradigm

    Hassle-free ML Pipelines on Kubernetes

    I built Paradigm from scratch to deploy any model at scale. It deploys the model on Kubernetes with load balancers. If you run into any issues, I'm happy to guide you on how to use it.

  • Mergify

    Updating dependencies is time-consuming.. Solutions like Dependabot or Renovate update but don't merge dependencies. You need to do it manually while it could be fully automated! Add a Merge Queue to your workflow and stop caring about PR management & merging. Try Mergify for free.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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