What is Polyaxon?
An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.
Polyaxon is a tool in the Machine Learning Tools category of a tech stack.
Polyaxon is an open source tool with 2.7K GitHub stars and 265 GitHub forks. Here’s a link to Polyaxon's open source repository on GitHub
Who uses Polyaxon?
3 companies reportedly use Polyaxon in their tech stacks, including polyaxon, Hudl Machine Learning Stack, and Sicara.
7 developers on StackShare have stated that they use Polyaxon.
Python, Docker, Kubernetes, TensorFlow, and Jupyter are some of the popular tools that integrate with Polyaxon. Here's a list of all 11 tools that integrate with Polyaxon.
Pros of Polyaxon
Polyaxon Alternatives & Comparisons
What are some alternatives to Polyaxon?
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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.
MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
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.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/