Parallel computing with task scheduling

A common bricks library for building scalable and portable distributed machine learning.

cuVS - a library for vector search and clustering on the GPU

cuGraph - RAPIDS Graph Analytics Library

cuML - RAPIDS Machine Learning Library

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …

KvikIO - High Performance File IO

cuGraph Docs - RAPIDS Graph Analytics Documentation

cuDF - GPU DataFrame Library

Utilities for Dask and CUDA interactions

Highly optimized and lightweight library for decision tree inference on NVIDIA GPUs and CPUs

RAPIDS Memory Manager

cuCIM - RAPIDS GPU-accelerated image processing library

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Universal model exchange and serialization format for decision tree forests

An Elasticsearch client tailored to data science workflows.

Dockerfile templates for creating RAPIDS Docker Images

Core library behind rstcheck.

A logging interface for RAPIDS built on spdlog

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

GPU Accelerated Backend for NetworkX