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Rapids Examples

Assumptions

  1. Conda is installed.
  2. CUDA 10.0 > is installed and on the PATH.

Examples List

Example Description
python-kernel-wrapper Demonstrates processing python cudf dataframes in a cuda kernel
pycuda_cudf_integration Demonstrates processing python cudf dataframes using pycuda
tfidf-benchmark Benchmarks NLP text processing pipeline in cuML + Dask vs. Apache Spark
rapids_triton_example Example of using RAPIDS+Pytorch with Nvidia Triton.
cuBERT_topic_modelling Leveraging BERT, TF-IDF and NVIDIA RAPIDS to create easily interpretable topics.

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  • Jupyter Notebook 84.3%
  • Python 7.7%
  • Cuda 3.5%
  • C++ 2.6%
  • CMake 1.1%
  • Dockerfile 0.5%
  • Other 0.3%