Kubeflow vs. Polyaxon vs. DMTK

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What is Kubeflow?

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

What is Polyaxon?

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

What is DMTK?

DMTK provides a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces.
Why do developers choose Kubeflow?
Why do you like Kubeflow?

Why do developers choose Polyaxon?
Why do you like Polyaxon?

Why do developers choose DMTK?
Why do you like DMTK?

What are the cons of using Kubeflow?
No Cons submitted yet for Kubeflow
Downsides of Kubeflow?

What are the cons of using Polyaxon?
No Cons submitted yet for Polyaxon
Downsides of Polyaxon?

What are the cons of using DMTK?
No Cons submitted yet for DMTK
Downsides of DMTK?

Want advice about which of these to choose?Ask the StackShare community!

What companies use Kubeflow?
2 companies on StackShare use Kubeflow
What companies use Polyaxon?
2 companies on StackShare use Polyaxon
What companies use DMTK?
1 companies on StackShare use DMTK
What tools integrate with Kubeflow?
5 tools on StackShare integrate with Kubeflow
What tools integrate with Polyaxon?
9 tools on StackShare integrate with Polyaxon
No integrations listed yet

What are some alternatives to Kubeflow, Polyaxon, and DMTK?

  • TensorFlow - Open Source Software Library for Machine Intelligence
  • scikit-learn - Easy-to-use and general-purpose machine learning in Python
  • Keras - Deep Learning library for Theano and TensorFlow
  • PyTorch - A deep learning framework that puts Python first

See all alternatives to Kubeflow



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