dillon-cullinan Goto Github PK
Name: Dillon Cullinan
Type: User
Location: Washington DC
Dillon Cullinan's Projects
asvdb
benchmark
blazingsql
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
build
Scripts and Dockerfile templates for creating RAPIDS Docker Images
ccache-feedstock
A conda-smithy repository for ccache.
cccl
C++ Core Compute Libraries Documentation and Scripts
cloud-ml-examples
clx
cucim
cucollections
cudf
cuDF - GPU DataFrame Library
cugraph
cuGraph
cuhornet
cuml
cuML - RAPIDS Machine Learning Library
cusignal
cuSignal - RAPIDS Signal Processing Library
cuspatial
CUDA-accelerated GIS and spatiotemporal algorithms
custrings
cuxfilter
GPU accelerated cross filtering with cuDF. Docs here:
dask-cuda
Utilities for Dask and CUDA interactions
dask-cudf
Dask support for distributed GDF object
dask-cuml
Dask cuML provides a set of multi-GPU machine learning algorithms from cuML that integrate into the Dask ecosystem.
distributed-join
docs
RAPIDS Documentation Site
frigate
Frigate is a tool for automatically generating documentation for your Helm charts
gpuci-build-environment
Common build environment used by gpuCI for building libgdf/pygdf
gpuci-mgmt
Mangement scripts for gpuCI
gpuci-tools
User tools for use within the gpuCI environment
gputreeshap
gquant
A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.
integration
RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
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