cuVS - Vector Search and Clustering on the GPU

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

Dockerfile templates for creating RAPIDS Docker Images

NumPy-like API accelerated with CUDA

Knowhere is an open-source vector search engine, integrating FAISS, HNSW, etc.

A library for efficient similarity search and clustering of dense vectors.

RAPIDS Documentation Site

Benchmarks of approximate nearest neighbor libraries in Python

cuML [alpha] - RAPIDS Machine Learning Library

cuGraph - RAPIDS Graph Analytics Library

RAPIDS Memory Manager

Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs

The Foundation for All Legate Libraries

Deep learning based processing of Atac-seq data

A hello world for Legate programs

Vector database for scalable similarity search and AI applications.

Examples of single-cell genomic analysis accelerated with RAPIDS

Docker image build and cluster-specialized build/run scripts

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

SuiteSparse:GraphBLAS: graph algorithms in the language of linear algebra. For production: (default) STABLE branch. Code development: (non-default) MASTER branch. For a short video intro, see https…

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.