Scalable Machine Learning with Dask

GPU accelerated cross filtering with cuDF.

cuML - RAPIDS Machine Learning Library

GPU Accelerated Backend for NetworkX

A logging interface for RAPIDS built on spdlog

cuGraph - RAPIDS Graph Analytics Library

Utilities for Dask and CUDA interactions

GPU accelerated decision optimization

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

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

cuDF - GPU DataFrame Library

RAPIDS Memory Manager

User tools for RAPIDS GitHub Actions

scikit-learn: machine learning in Python

Parallel computing with task scheduling

The fundamental package for scientific computing with Python.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

NVIDIA curated collection of educational resources related to general purpose GPU programming.

GPU Development in Python 101 tutorial