rapidsai

cuGraph - RAPIDS Graph Analytics Library

cuSignal - RAPIDS Signal Processing Library

NVIDIA RMM is a library for allocating and managing GPU memory in C++ and Python.

CUDA-accelerated GIS and spatiotemporal algorithms

A JupyterLab extension for displaying dashboards of GPU usage.

RAPIDS Sample Notebooks

NVIDIA cuCIM - GPU-accelerated image processing library

Utilities for Dask and CUDA interactions

GPU accelerated cross filtering with cuDF.

KvikIO - High Performance File IO

GPU-accelerated data science and visualization in node

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.

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

Python bindings for UCX

[ARCHIVED] C GPU DataFrame Library

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

GPU Accelerated Backend for NetworkX

RAPIDS GPU-BDB

WholeGraph - large scale Graph Neural Networks

Dockerfile templates for creating RAPIDS Docker Images

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

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

RAPIDS Documentation Site