#
rapids
Here are 27 public repositories matching this topic...
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
python
data-science
machine-learning
sql
gpu
arrow
artificial-intelligence
gpu-acceleration
sql-engine
conda-environment
machine-learning-workflow
rapids
cudf
rapidsai
blazingsql
gpu-dataframes
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Mar 8, 2022 - C++
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
visualization
python
webgl
csv
analytics
neo4j
graph
splunk
gpu
cuda
pandas
networkx
dashboards
notebooks
graphistry
tigergraph
rapids
cudf
cugraph
blazingsql
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Aug 15, 2022 - Python
cuGraph - RAPIDS Graph Analytics Library
graph
graph-algorithms
gpu
cuda
nvidia
complex-networks
graph-analysis
graphml
graph-framework
rapids
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Updated
Aug 19, 2022 - Cuda
Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.
graph-algorithms
sparql
inference
pandas
owl
rdflib
networkx
knowledge-graph
json-ld
parquet
skos
shacl
python-igraph
r2rml-mapping
probabilistic-soft-logic
rapids
pyvis
roamresearch
graph-libraries
graph-thinking
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Aug 17, 2022 - Jupyter Notebook
RAPIDS Memory Manager
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Updated
Aug 19, 2022 - C++
GPU accelerated cross filtering with cuDF.
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Aug 18, 2022 - Jupyter Notebook
Python client for OmniSci GPU-accelerated SQL engine and analytics platform
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Sep 3, 2021 - Python
Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
python
time-series
nvidia
gpu-computing
hpc-applications
stationarity
rapids
cudf
fractional-differencing
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Updated
Oct 4, 2019 - Jupyter Notebook
RAPIDS data science. No setup required.
data-science
machine-learning
sql
gpu
data-visualization
jupyterlab
notebooks
dask
demos
rapids
blazingsql
blazingsql-notebooks
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Updated
Mar 30, 2021 - Jupyter Notebook
Template repository for a Python 3-based (data) science project with GPU acceleration using NVIDIA RAPIDS libraries.
data-science
gpu
scientific-computing
gpu-acceleration
python-3
template-project
scientific-workflows
scientific-research
rapids
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Jul 5, 2022 - Shell
The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
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Oct 2, 2019
GPU accelerated Jupyter dashboard.
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Jun 18, 2020 - Jupyter Notebook
h2o-automl
rapids
autokeras
autogluon
lazypredict
autots
evalml
autonlp
autoviml
sklearn-automl
tpot-automl
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Updated
Oct 2, 2021 - Jupyter Notebook
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