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Tools

nvida suite​

Packages from rapidsai​

Landing page of rapidsai → here

  1. User Guide — cudf 23.02.00 documentation (rapids.ai)
  2. User Guide — cuml 23.02.00 documentation (rapids.ai)
  3. API Reference — cuspatial 23.02.00 documentation (rapids.ai)
  4. Welcome to cusignal’s documentation! — cusignal 23.02.00 documentation (rapids.ai)

PyTorch suite​

Tree/Boosting methods​

  1. LightGBM
  2. XGBoost
  3. Random Forest
  4. Survival Algorithms

fastai library​

Distributed compute​

Experiment tracking​

API documentation​

nbdev​

sphinx​

Apps for testing ML models​

  1. h2o wave
  2. Streamlit

Experimenting with open-source models (with Single GPU)​

  1. Google Colab
  2. Kaggle

Experimenting with open-source models (on Multiple GPU)​

  1. Kaggle