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.
Docker, Python, Kubernetes, Jupyter, and SageMath are some of the popular tools that integrate with Polyaxon. Here's a list of all 11 tools that integrate with Polyaxon.
Why developers like Polyaxon?
Here’s a list of reasons why companies and developers use Polyaxon
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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.
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 is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.