Dockerfile templates for creating RAPIDS Docker Images

Common build environment used by gpuCI for building RAPIDS

RAPIDS Memory Manager

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

C++ Core Compute Libraries Documentation and Scripts

The C++ parallel algorithms library.

cuDF - GPU DataFrame Library

Conda recipes for xgboost

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

Facilitates searching, screening, and organizing large chemical databases

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.

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

Rapids Analytics Framework Toolset to share building blocks between cuGraph and cuML

A JupyterLab extension for displaying dashboards of GPU usage.

cuSignal - RAPIDS Signal Processing Library

CUDA-accelerated GIS and spatiotemporal algorithms

GPU accelerated cross filtering with cuDF.

Utilities for Dask and CUDA interactions

Python bindings for UCX

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

A place to submit conda recipes before they become fully fledged conda-forge feedstocks