cjnolet

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

AMGX

Distributed multigrid linear solver library on GPU

AtacWorks

Deep learning based processing of Atac-seq data

big-ann-tools

A simple repository of tools for analyzing and running the big ann benchmarks

cugraph

cuGraph - RAPIDS Graph Analytics Library

cuml

cuML [alpha] - RAPIDS Machine Learning Library

cupy

NumPy-like API accelerated with CUDA

cuvs

cuVS - Vector Search and Clustering on the GPU

docs

RAPIDS Documentation Site

faiss

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

ggnn

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

GraphBLAS

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://youtu.be/Tj5y6d7FegI . The libgraphblas.so is Apache2 licensed, but the MATLAB interface in the GraphBLAS/GraphBLAS folder is now GNU GPL3, and this change is retroactive to all versions of GraphBLAS.

HugeCTR

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

integration

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

knowhere

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

legate-hello-world

A hello world for Legate programs

legate.core

The Foundation for All Legate Libraries

legate.sparse

milvus

Vector database for scalable similarity search and AI applications.

NVTabular

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.

quickstart

Docker image build and cluster-specialized build/run scripts

raft

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

rapids-single-cell-examples-2

Examples of single-cell genomic analysis accelerated with RAPIDS

rmm

RAPIDS Memory Manager

scanpy

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

server

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

slhc_benchmarks

Scripts for dataset loading and benchmarking of cuML's SLHC Python APIs

spark-rapids-ml

Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs

sparse_neighborhood_semiring_paper

Repository with artifacts and reproducibility information for the paper Semiring Primitives for Sparse Neighborhood Methods on the GPU

vdb-bigdata-bench