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RAPIDS (@rapidsai)

rapidsai

Stars
19,247
Global Org. Rank 1,110 (Top 0.4 %)
Registered over 5 years ago
Most used languages

Python
26.3 %

Jupyter Notebook
17.1 %

Shell
14.5 %

C++
13.2 %

Cuda 9.2 %

Dockerfile
7.9 %

TypeScript
3.9 %

HTML
2.6 %

Go
2.6 %

CSS
1.3 %

CMake 1.3 %

cudf

cuDF - GPU DataFrame Library

cuml

cuML - RAPIDS Machine Learning Library

cugraph

cuGraph - RAPIDS Graph Analytics Library

cusignal

cuSignal - RAPIDS Signal Processing Library

raft

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.

notebooks

RAPIDS Sample Notebooks

jupyterlab-nvdashboard

A JupyterLab extension for displaying dashboards of GPU usage.

cuspatial

CUDA-accelerated GIS and spatiotemporal algorithms

Jupyter Notebook

rmm

RAPIDS Memory Manager

deeplearning

Jupyter Notebook

cucim

cuCIM - RAPIDS GPU-accelerated image processing library

Jupyter Notebook

dask-cuda

Utilities for Dask and CUDA interactions

cuxfilter

GPU accelerated cross filtering with cuDF.

node

GPU-accelerated data science and visualization in node

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.

Jupyter Notebook

libgdf

[ARCHIVED] C GPU DataFrame Library

dask-cudf

[ARCHIVED] Dask support for distributed GDF object --> Moved to cudf

cloud-ml-examples

A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud

Jupyter Notebook

ucx-py

Python bindings for UCX

gpu-bdb

kvikio

KvikIO - High Performance File IO

plotly-dash-rapids-census-demo

Jupyter Notebook

gputreeshap

frigate

Frigate is a tool for automatically generating documentation for your Helm charts

wholegraph

WholeGraph - large scale Graph Neural Networks

spark-examples

[ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples

Jupyter Notebook

docker

Dockerfile templates for creating RAPIDS Docker Images

cuvs

cuVS - a library for vector search and clustering on the GPU

Jupyter Notebook

custrings

[ARCHIVED] GPU String Manipulation --> Moved to cudf

docs

RAPIDS Documentation Site

cudf-alpha

[ARCHIVED] cuDF [alpha] - RAPIDS Merge of GoAi into cuDF

rapids-examples

Jupyter Notebook

nvgraph

rapids-cmake

cuhornet

cuDataShader

Jupyter Notebook

gpuci-build-environment

Common build environment used by gpuCI for building RAPIDS

distributed-join

dask-cuml

[ARCHIVED] Dask support for multi-GPU machine learning algorithms --> Moved to cuml

integration

RAPIDS - combined conda package & integration tests for all of RAPIDS libraries

devcontainers

xgboost-conda

Conda recipes for xgboost

Jupyter Notebook

ucxx

benchmark

dependency-file-generator

helm-chart

deployment

RAPIDS Deployment Documentation

Jupyter Notebook

miniforge-cuda

asvdb

ci-imgs

dask-cugraph

rapids.ai

rapids.ai web site

ptxcompiler

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 gpuCI

roc

GitHub utilities for the RAPIDS Ops team

multi-gpu-tools

detect-weak-linking

dask-cuda-benchmarks

rapids_triton_pca_example

shared-workflows

Reusable GitHub Actions workflows for RAPIDS CI

dgl-cugraph-build-environment

cugunrock

projects

Jupyter Notebook

gpuci-mgmt

Mangement scripts for gpuCI

ansible-roles

code-share

build-metrics-reporter

cibuildwheel-imgs

gpuci-tools

User tools for use within the gpuCI environment

pynvjitlink

rapids-dask-dependency

sphinx-theme

This repository contains a Sphinx theme used for RAPIDS documentation