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

cuVS - Vector Search and Clustering on the GPU

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

NumPy-like API accelerated with CUDA

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.

Distributed multigrid linear solver library on GPU

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Single-Cell Analysis in Python. Scales to >1M cells.