Latest posts

Polyaxon v1.18: Improved run control

Polyaxon v1.18: Improved run control
The run control, i.e. cog icon, is now visible on all tabs to allow users to easily perform actions on a run
product

Polyaxon v1.18: New comparison features

Polyaxon v1.18: New comparison features
Polyaxon UI has new features that allows users to quickly compare and filter their runs
product

Polyaxon v1.18: New Tensorboard component and initializer

Polyaxon v1.18: New Tensorboard component and initializer
You can now start Tensorboard using the experiment names instead of the experiment uuids
product

Polyaxon v1.18: Improve CLI with rich interface

Polyaxon v1.18: Improve CLI with rich interface
We recently worked on an effort to improve the visual experience our CLI
product

Polyaxon v1.18: Support for annotations and env vars in connections schema

Polyaxon v1.18: Support for annotations and env vars in connections schema
You can now define annotations and environment variables in your connections' schema
product

Polyaxon v1.18: Improved query language

Polyaxon v1.18: Improved query language
Users can now filter by connections and artifacts
product

By section

Polyaxon v1.13: Experiments Table Heatmap

Polyaxon v1.13: Experiments Table Heatmap
How to turn the runs table into a heatmap using the new heat field feature.
product

Product

New product updates

Polyaxon v1.18: New comparison features

Polyaxon v1.18: New comparison features
Polyaxon UI has new features that allows users to quickly compare and filter their runs
product

Polyaxon v1.16: Transferring runs, models, components, & artifacts

Polyaxon v1.16: Transferring runs, models, components, & artifacts
Users can now transfer runs, models, components, & artifacts from one project to another to reorganize their workspaces
product

Polyaxon v1.13: Queues saturation

Polyaxon v1.13: Queues saturation
The queues table shows now a saturation bar for queues with quotas or concurrency limits and stats about the runs assigned to each queue.
product

Train and deploy machine learning applications to Kubernetes using Streamlit and Polyaxon

Train and deploy machine learning applications to Kubernetes using Streamlit and Polyaxon
A step-by-step guide to train, analyze, and deploy a containerized Streamlit machine learning application on Kubernetes using Polyaxon.
guides

Guides

Guides and Tutorials

Troubleshooting Kubernetes for data-scientists

Troubleshooting Kubernetes for data-scientists
Troubleshooting machine learning (ML) and deep learning(DL) workload on Kubernetes for data-scientists and machine learning engineers.
kubernetesguides

Common Git commands for data-scientists

Common Git commands for data-scientists
Common Git commands for data-scientists and machine learning engineers
gitguides

Common Docker terms for data-scientists

Common Docker terms for data-scientists
Common Docker terms for data-scientists and machine learning engineers
dockerguides