MLflow
MLflow

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Polyaxon
Polyaxon

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0
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MLflow vs Polyaxon: What are the differences?

Developers describe MLflow as "An open source machine learning platform". MLflow is an open source platform for managing the end-to-end machine learning lifecycle. On the other hand, Polyaxon is detailed as "An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications". An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

MLflow and Polyaxon belong to "Machine Learning Tools" category of the tech stack.

MLflow is an open source tool with 23 GitHub stars and 13 GitHub forks. Here's a link to MLflow's open source repository on GitHub.

- No public GitHub repository available -

What is MLflow?

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

What is Polyaxon?

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

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

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          What companies use MLflow?
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          What are some alternatives to MLflow and Polyaxon?
          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.
          TensorFlow
          TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
          scikit-learn
          scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
          Keras
          Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
          PyTorch
          PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
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