Dante Gama Dessavre

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

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

A Lucene codec for vector search and clustering on the GPU

No description provided.

A conda-smithy repository for nccl.

cuVS - RAPIDS vector search library

A conda-smithy repository for xgboost.

Dockerfile templates for creating RAPIDS Docker Images

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

model compiler for decision tree ensembles

No description provided.

Conda recipes for xgboost

No description provided.

FIL backend for the Triton Inference Server

GPU accelerated cross filtering with cuDF.

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

A game theoretic approach to explain the output of any machine learning model.

CUDA-accelerated GIS and spatiotemporal algorithms

A conda-smithy repository for faiss-split.

Insight fellowship project: A developer recommendation system using lightfm and GitHub data

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

Common build environment used by gpuCI for building RAPIDS

RAPIDS Memory Manager

Utilities for building cuML for development

Dask cuML provides a set of multi-GPU machine learning algorithms from cuML that integrate into the Dask ecosystem.

Scalable Machine Learn with Dask

cuGraph

RAPIDS Sample Notebooks

cuML [alpha] - RAPIDS Machine Learning Library

GPU Data Frame