Introduction to deep learning hardware in the cloud

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • examples

    TensorFlow examples (by tensorflow)

  • Build – Choose a machine learning framework (such as TensorFlow, PyTorch, Apache MXNet, etc.)

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • Build – Choose a machine learning framework (such as TensorFlow, PyTorch, Apache MXNet, etc.)

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • mxnet

    Discontinued Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  • Build – Choose a machine learning framework (such as TensorFlow, PyTorch, Apache MXNet, etc.)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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