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POLYAXON
AI orchestration platform for the full ML lifecycle
Apache-2.0
ABOUT
Managing the full ML lifecycle — from experiment tracking and hyperparameter tuning to distributed training and model deployment — typically requires stitching together multiple tools. Polyaxon solves this with a unified orchestration platform that provides a central control plane for experiment management, automated hyperparameter search, distributed training on Kubernetes, model versioning, and pipeline automation in a single deployable system.
INSTALL
pip install polyaxonINTEGRATION GUIDE
1. Track and compare thousands of ML experiments with automatic logging of hyperparameters and metrics
2. Run distributed hyperparameter optimization across multiple GPU nodes with automated scheduling
3. Orchestrate distributed training of large models across a Kubernetes cluster with fault tolerance
4. Build a model registry that versions, tags, and deploys model artifacts across staging and production
5. Create automated ML pipelines that run experiment sweeps, evaluate results, and promote best models
TAGS
orchestrationmlopsexperiment-trackinghyperparameter-tuningdistributed-trainingkubernetespythonenterprise