NetBook
  • The Basics
    • About
      • 🧑‍🤝‍🧑Community
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        • Setting Up your Code
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        • Training Data Setup
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      • 🖥️Compute Backends
        • Add your Kubernetes Clusters
          • Create Kubernetes Cluster on E2E Nodes
          • Creating Kubernetes Cluster on Bare Metal Servers
      • 🧑‍💻Environments
        • Overview
        • Quickstart
    • 💳Accounts
      • 🌥️Bring your own Cloud
        • Azure
          • Setup in your Azure
          • Adding Credentials to Netbook Portal
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          • Setup in your AWS account
          • Adding Credentials to NetBook Portal
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  1. The Basics
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  3. Environments

Overview

An overview of NetBook Environments

NetBook provides you with some standard ML environments like PyTorch Cuda, PyTorch CPU, Tensorflow GPU, Tensorflow CPU which you can directly use to begin with your data science project without worrying about resolving the dependencies.

With an option to develop custom environments, you can create docker based project environments by either uploading your environment file or by directly linking your code repo to build a coding environment for your use-case.

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Last updated 3 years ago

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