/cloud-deep-learning-server

Deep Learning Server on Azure VM GPU instances

Primary LanguageShellMIT LicenseMIT

Cloud Deep Learning Server

Deep Learning Server on Ubuntu Server 20.04 (Azure VM, GPU Instance)

Software / Frameworks

Installing software/frameworks:

  • CUDA drivers
  • ML/DL frameworks:
    • Tensorflow (with GPU support)
    • Keras (with GPU support)
    • LightGBM (with GPU support)
    • H2O Open
  • R CRAN
    • with pre-installed basic R-packages
  • RStudio Server
    • with Azure Database Service connector
  • JupyterLab
  • VS Code Server
  • .NET Core and Powershell Core
  • Docker
  • Git configure
  • Kaggle configure

Instructions

Preparation

git clone https://github.com/codez0mb1e/cloud-deep-learning-server.git

cd cloud-deep-learning-server/src

mkdir logs

Installation scripts

  1. sudo sh install_core.sh &>logs/install_core.log
  2. sudo sh install_cuda_drivers.sh &>logs/install_cuda_drivers.log
  3. sudo sh install_deep_learning.sh &>logs/install_deep_learning.log
  4. sudo sh install_ml_python.sh > log/install_ml_python.log
  5. sudo sh install_r_env.sh &>logs/install_r.log
  6. Rscript install_r_packages.R &>logs/install_r_packages.log 1
  7. sudo sh install_lightgbm.sh &>logs/install_lightgbm.log 1
  8. sudo sh git_configure.sh &>logs/git_configure.log 1
  9. sudo sh kaggle_configure.sh &>logs/kaggle_configure.log 1
  10. sudo sh install_dotnet_tools.sh &>logs/install_dotnet_core.log
  11. sudo sh install_docker.sh &>logs/install_docker.log

1 Install under RStudio user

Tests

  1. Keras installation tests
  2. LightGBM installation test
  3. Jupiter Notebook installation tests