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  1. Step-by-step guides
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Yandex Data Science Virtual Machine

Written by
Yandex Cloud
Updated at February 12, 2025

Yandex Data Science Virtual Machine (DSVM) is a VM with pre-installed popular libraries for data analysis and machine learning. A DSVM can be used as an environment for training models and experimenting with data.

For information on how to create DSVMs, see Creating a VM from a public DSVM image.

Pre-installed softwarePre-installed software

Operating system: Ubuntu 18.04.

Installed packages:

  • Conda with Python 2.7 and Python 3.6.
  • Jupyter Notebook and JupyterLab for interactive and reproducible computations.
  • ML libraries:
    • CatBoost.
    • LightGBM.
    • PyTorch.
    • TensorFlow.
    • XGBoost.
  • Docker.
  • Console clients of version control systems: Git, Mercurial, and SVN.
  • NumPy, scikit-learn, and SciPy libraries optimized with Intel Math Kernel Library and Data Analytics Acceleration Library.
  • Optimized libraries for working with images: libjpeg-turbo and Pull-SIMD.

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