#
cudf
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wmalpica
commented
Mar 18, 2021
We no longer need to control the number of concurrent kernels, since now we control the number of concurrent tasks
good first issue
Good for newcomers
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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May 23, 2022 - Python
GPU accelerated cross filtering with cuDF.
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May 23, 2022 - Jupyter Notebook
python
gui
gpu
datasets
dask
optimus
data-preparation
data-cleaning
data-profiling
bumblebee
prepare-data
cudf
dask-cudf
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May 17, 2022 - Vue
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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Oct 4, 2019 - Jupyter Notebook
Awesome list of alternative dataframe libraries in Python.
python
awesome
sql
arrow
pandas
datatable
awesome-list
dask
apache-arrow
cudf
rapidsai
datafusion
blazingsql
polars
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Mar 3, 2022
The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
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Oct 2, 2019
Rapidsai_Machine_learnring_on_GPU
machine-learning
deep-learning
scikit-learn
sklearn
machine-learning-algorithms
pandas
nvidia
dask
cudf
dask-ml
cuml
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Jun 10, 2021 - Jupyter Notebook
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The use of an
mrparameter ininplace_bitmask_and, which callsinplace_bitmask_binop, is a little misleading. The allocations there are always temporary and are not part of the return value. It is only used for a few temporary arrays/scalars: https://github.com/rapidsai/cudf/blob/1f8a03e69704562dfac38de40b7172650280c6ea/cpp/include/cudf/detail/null_mask.cuh#L169-L171It should be possible