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GitHub / KAUST-Academy / nvidia-rapids-data-science-project
Template repository for a Python 3-based (data) science project with GPU acceleration using NVIDIA RAPIDS libraries.
Stars: 8
Forks: 2
Open Issues: 0
License: bsd-3-clause
Language: Shell
Repo Size: 185 KB
Dependencies:
38
Created: over 4 years ago
Updated: 3 days ago
Last pushed: almost 2 years ago
Last synced: 3 days ago
Topics: data-science, gpu, gpu-acceleration, python-3, rapids, scientific-computing, scientific-research, scientific-workflows, template-project
Files
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Readme
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Dependencies
environment.yml
conda
- bokeh
- cudatoolkit 11.4.*
- cupy
- dask
- dask-labextension
- dask-ml
- datashader
- gh
- git
- holoviews
- hvplot
- ipywidgets
- jupyterlab
- jupyterlab-git
- jupyterlab-lsp
- jupyterlab-nvdashboard
- matplotlib
- numba
- numpy
- optuna
- pandas
- panel
- pip
- pyarrow
- python 3.9.*
- python-language-server
- pyviz_comms
- rapids 22.06.*
- scikit-learn
- scipy
- ucx
- ucx-py
- wandb
- xarray
- xeus-python
- xgboost
docker/Dockerfile
docker
- rapidsai/rapidsai cuda11.4-base-ubuntu20.04-py3.9 build
requirements.txt
pypi