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Repositories
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cuml
cuML - RAPIDS Machine Learning Library
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raft
Rapids Analytics Framework Toolset to share building blocks between cuGraph and cuML
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dask-cuda
Utilities for Dask and CUDA interactions
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cugraph
cuGraph - RAPIDS Graph Analytics Library
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clx
A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.
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integration
RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
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docker
Dockerfile templates for creating RAPIDS Docker Images
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docs
RAPIDS Documentation Site
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cusignal
cuSignal - RAPIDS Signal Processing Library
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gpuci-build-environment
Common build environment used by gpuCI for building RAPIDS
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ucx-py
Python bindings for UCX
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notebooks
RAPIDS Sample Notebooks
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cuspatial
CUDA-accelerated GIS and spatiotemporal algorithms
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gpuci-mgmt
Mangement scripts for gpuCI
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gpu-bdb
RAPIDS TPCx-BB
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gQuant
A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.
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xgboost-conda
Conda recipes for xgboost
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frigate
Frigate is a tool for automatically generating documentation for your Helm charts
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jupyterlab-nvdashboard
A JupyterLab extension for displaying dashboards of GPU usage.
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ucx-split-feedstock
Forked from conda-forge/ucx-split-feedstockA conda-smithy repository for ucx-split.
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gpuci-tools
User tools for use within the gpuCI environment