Python library for building and running distributed data pipelines using Ray

Scalable data pre processing and curation toolkit for LLMs

LLM training in simple, raw C/CUDA

An extremely fast Python linter and code formatter, written in Rust.

Distributed SQL Engine in Python using Dask

Dockerfile templates for creating RAPIDS Docker Images

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Always know what to expect from your data.

A JupyterLab extension for displaying dashboards of GPU usage.

GPU Accelerated Building Blocks integrating HPC+AI for Energy Customers

A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud

Developing and integrating methods for fastai2 tabular with other datatypes

Examples of single-cell genomic analysis accelerated with RAPIDS

RAPIDS GPU-BDB

GPU accelerated cross filtering with cuDF.

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Turi Create simplifies the development of custom machine learning models.

cuML - RAPIDS Machine Learning Library

cuDF - GPU DataFrame Library