Polyaxon v0.4.3: stable — Improved dashboard, setup, and documentation
Today, we are pleased to announce the v0.4.3 release of our MLOps platform, a stable version with improved functionalities and documentation.
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Polyaxon v0.4.2: Kubeflow, Horovod, and MPI integrations
Polyaxon now integrates with Kubeflow, Horovod, and MPI natively.
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Polyaxon v0.4: Integrations, Machine Learning CI, Better support of external repos, Better support of cloud storages...
Polyaxon v0.4 added integrations, machine learning CI, experiment tracking, cloud storage support, TPU scheduling, and workflow improvements.
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Polyaxon 0.2.7: experiments comparison & model analysis
Today’s release is the first step towards experiments comparison on Polyaxon and overall model analysis.
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Polyaxon 0.2.3: Experiment stability, better tracking, better visualization
We’re pleased to announce the new release of Polyaxon 0.2.3. Today’s release continues to focus on internal improvements and stability, and make the best experience to run and scale machine learning on Kubernetes.
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Polyaxon v0.2
The new version of Polyaxon comes with a lot of new features, bug fixes, and performance enhancement.
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Mounting multiple data and outputs volumes
For some advanced uses cases, users might need to mount more than one data and/or outputs volumes.
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Advanced scheduling of experiments and jobs on Polyaxon
For some advanced use cases, users might need to have more control over where specific Polyaxon jobs should be deployed on their clusters.
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Saving, resuming, and restarting experiments with Polyaxon
In this post we will introduce a new feature on Polyaxon, checkpointing, resuming, and restarting experiments.
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Hyperparameters tuning on Kubernetes
hyperparameters tuning is very important concept in order to choose the optimal hyperparameters for a given algorithm!
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Distributed Deep Learning on Kubernetes
In this short tutorial, we will be going over a new feature in Polyaxon, distributed training.
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Jupyter notebooks and tensorboards on Polyaxon
We’re introducing a new feature at Polyaxon to help you iterate on your projects and share your work; Jupyter Notebook and Tensorboard.
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