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Using the Rendered.ai SDK

This Jupyter notebooks repository is for learning how to use the Rendered.ai anatools SDK to access our powerful platform.

Note that you must have a valid Rendered.ai account prior to running the notebooks. View the latest SDK documentation here and more guides at the Rendered.ai Support Site!

Table of Contents

Covering the additional Rendered.ai features:

  • Dataset Analytics
  • Domain Adaptation
  • Annotations
  • Uniform Manifold Approximation and Projection for Dimension Reduction (UMAP)

4. ML Integrations

Environment

Python 3 is required; 3.7 is preferred.

These notebooks depend on the Rendered.ai Python module anatools. Make sure you install it in your environment.

pip install anatools

Other Required Python Modules. These must be installed prior to running the notebooks.

  • PyYAML
  • json
  • wget
  • numpy
  • matplotlib
  • PIL

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A place for Rendered.ai notebook tutorials.

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