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AstraML

A machine learning pipeline orchestration tool designed to streamline model training, deployment, and monitoring across distributed systems.

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  • Python
  • TensorFlow
  • Docker
  • Kubernetes

End-to-End Workflows

AstraML provides reusable ML workflows, offering a cohesive experience from data preprocessing all the way to final model inference.

Structured Experimentation

By automating structured-data experimentation, AstraML accelerates the model training and evaluation process, providing researchers with reliable, reproducible environments.