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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
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 16, 2021 - Python
data-science
machine-learning
spark
bigdata
data-transformation
pyspark
data-extraction
data-analysis
data-wrangling
dask
data-exploration
data-preparation
data-cleaning
data-profiling
data-cleansing
big-data-cleaning
data-cleaner
cudf
dask-cudf
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Aug 21, 2021 - Python
GPU accelerated cross filtering with cuDF.
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Aug 20, 2021 - Jupyter Notebook
python
gui
gpu
datasets
dask
optimus
data-preparation
data-cleaning
data-profiling
bumblebee
prepare-data
cudf
dask-cudf
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Aug 20, 2021 - 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
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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Describe the bug
Clipping a DataFrame or Series using ints causes a cudf Failure because it won't handle the different dtypes (int and float)
Steps/Code to reproduce bug