BradReesWork
Sr Manager of Graph Analytics at NVIDIA. @rapidsai developer, computer scientist, graph and complex network explorer
@nviidaFlorida
Pinned Repositories
blazingsql
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
CudaMemoryModelsPerformance
cugraph
cuGraph - RAPIDS Graph Analytics Library
cugraph-pg
cuGraph_Benchmark
cuhornet
GpuPython
Demo code for Smart Talk Meetup
cugraph
cuGraph - RAPIDS Graph Analytics Library
cugraph-pg
wholegraph
WholeGraph - large scale Graph Neural Networks
BradReesWork's Repositories
BradReesWork/CudaMemoryModelsPerformance
BradReesWork/GpuPython
Demo code for Smart Talk Meetup
BradReesWork/blazingsql
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
BradReesWork/cugraph
cuGraph - RAPIDS Graph Analytics Library
BradReesWork/cugraph-pg
BradReesWork/cuGraph_Benchmark
BradReesWork/cuhornet
BradReesWork/cusignal
cuSignal - RAPIDS Signal Processing Library
BradReesWork/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
BradReesWork/DGL_CUGRAPH_Test
BradReesWork/docker
Dockerfile templates for creating RAPIDS Docker Images
BradReesWork/docs
RAPIDS Documentation Site
BradReesWork/event-notebooks
BradReesWork/GaaS
BradReesWork/GpuCsvImporter
Not workign play area
BradReesWork/Graph101
BradReesWork/HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
BradReesWork/integration
RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
BradReesWork/MLADS_RAPIDS
Public repository for Microsoft AzureML and NVIDIA RAPIDS workshop at MLADS
BradReesWork/notebooks
RAPIDS Sample Notebooks
BradReesWork/notebooks-contrib
RAPIDS Community Notebooks
BradReesWork/prototypes
cluster_proto
BradReesWork/RapidsIntro
BradReesWork/wholegraph
WholeGraph - large scale Graph Neutral Networks