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blazingsql

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

cccl

C++ Core Compute Libraries Documentation and Scripts

cheminformatics

Facilitates searching, screening, and organizing large chemical databases

cloud-ml-examples

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

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.

cudf

cuDF - GPU DataFrame Library

cusignal

cuSignal - RAPIDS Signal Processing Library

cuspatial

CUDA-accelerated GIS and spatiotemporal algorithms

cuxfilter

GPU accelerated cross filtering with cuDF.

dask-cuda

Utilities for Dask and CUDA interactions

docker

Dockerfile templates for creating RAPIDS Docker Images

frigate

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

gpuci-build-environment

Common build environment used by gpuCI for building RAPIDS

gputreeshap

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.

integration

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

jupyterlab-nvdashboard

A JupyterLab extension for displaying dashboards of GPU usage.

raft

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

rmm

RAPIDS Memory Manager

scratchpad

No working code, just notes and random code

staged-recipes

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

thrust

The C++ parallel algorithms library.

ucx-py

Python bindings for UCX

xgboost-conda

Conda recipes for xgboost