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cudf
cuDF - GPU DataFrame Librarycuml
cuML - RAPIDS Machine Learning Librarycugraph
cuGraph - RAPIDS Graph Analytics Librarycusignal
cuSignal - RAPIDS Signal Processing Libraryraft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.jupyterlab-nvdashboard
A JupyterLab extension for displaying dashboards of GPU usage.notebooks
RAPIDS Sample Notebookscuspatial
CUDA-accelerated GIS and spatiotemporal algorithmsrmm
RAPIDS Memory Managerdeeplearning
cucim
cuCIM - RAPIDS GPU-accelerated image processing librarydask-cuda
Utilities for Dask and CUDA interactionscuxfilter
GPU accelerated cross filtering with cuDF.node
GPU-accelerated data science and visualization in nodeclx
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.libgdf
[ARCHIVED] C GPU DataFrame Librarydask-cudf
[ARCHIVED] Dask support for distributed GDF object --> Moved to cudfcloud-ml-examples
A collection of Machine Learning examples to get started with deploying RAPIDS in the Clouducx-py
Python bindings for UCXgpu-bdb
RAPIDS GPU-BDBkvikio
KvikIO - High Performance File IOgputreeshap
frigate
Frigate is a tool for automatically generating documentation for your Helm chartswholegraph
WholeGraph - large scale Graph Neural Networksspark-examples
[ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examplesdocker
Dockerfile templates for creating RAPIDS Docker Imagescuvs
cuVS - a library for vector search and clustering on the GPUcustrings
[ARCHIVED] GPU String Manipulation --> Moved to cudfdocs
RAPIDS Documentation Sitecudf-alpha
[ARCHIVED] cuDF [alpha] - RAPIDS Merge of GoAi into cuDFrapids-examples
nvgraph
rapids-cmake
cuhornet
cuDataShader
gpuci-build-environment
Common build environment used by gpuCI for building RAPIDSdistributed-join
devcontainers
dask-cuml
[ARCHIVED] Dask support for multi-GPU machine learning algorithms --> Moved to cumlintegration
RAPIDS - combined conda package & integration tests for all of RAPIDS librariesxgboost-conda
Conda recipes for xgboostbenchmark
ucxx
dependency-file-generator
asvdb
helm-chart
deployment
RAPIDS Deployment Documentationminiforge-cuda
ci-imgs
dask-cugraph
rapids.ai
rapids.ai web siteptxcompiler
GaaS
rvc
scikit-learn-nv
ops-bot
A Probot application used by the Ops team for automation.workflows
rapids-triton
dask-build-environment
Build environments for various dask related projects on gpuCIroc
GitHub utilities for the RAPIDS Ops teammulti-gpu-tools
detect-weak-linking
dask-cuda-benchmarks
shared-workflows
Reusable GitHub Actions workflows for RAPIDS CIrapids_triton_pca_example
cugunrock
dgl-cugraph-build-environment
projects
crossfit
Metric calculation librarygpuci-mgmt
Mangement scripts for gpuCIansible-roles
code-share
build-metrics-reporter
cibuildwheel-imgs
gpuci-tools
User tools for use within the gpuCI environmentpynvjitlink
rapids-dask-dependency
sphinx-theme
This repository contains a Sphinx theme used for RAPIDS documentationLove Open Source and this site? Check out how you can help us