cudf

There are 0 repository under cudf topic.

• rapidsai / cudf

  cuDF - GPU DataFrame Library

  arrowcppcudacudfdaskdata-analysisdata-sciencedataframegpupandaspydatapythonrapids
  Language:C++ 7274

• graphistry / pygraphistry

  PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

  graphvisualizationgpugraphistrypythonrapidscugraphnetworkxneo4jtigergraphpandascsvwebglsplunkcudfjupyterigraphnetwork-analysisnetwork-visualizationgraph-visualization
  Language:Python 2054
• blazingsql

  BlazingDB / blazingsql

  BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

  arrowartificial-intelligenceblazingsqlconda-environmentcudfdata-sciencegpugpu-accelerationgpu-dataframesmachine-learningmachine-learning-workflowpythonrapidsrapidsaisqlsql-engine
  Language:C++ 1900

• hi-primus / optimus

  :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

  sparkpysparkdata-wranglingbigdatabig-data-cleaningdata-sciencedata-cleansingdata-cleanerdata-transformationmachine-learningdata-profilingdata-extractiondata-explorationdata-analysisdata-preparationcudfdaskdask-cudfdata-cleaning
  Language:Python 1445
• cuxfilter

  rapidsai / cuxfilter

  GPU accelerated cross filtering with cuDF.

  crossfiltercudfgpurapidsvisualization
  Language:Python 264

• hi-primus / bumblebee

  🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

  data-profilingdata-cleaningbumblebeeguidata-preparationpythondaskoptimusgpucudfdask-cudfprepare-datadatasets
  Language:Vue 134

• teddylee777 / deepko

  머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

  dockerkagglexgboosttensorflowpytorchcudflightgbmpythondeep-learninggpumachine-learning
  Language:Jupyter Notebook 63
• fractional_differencing_gpu

  ritchieng / fractional_differencing_gpu

  Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

  fractional-differencingrapidscudfgpu-computinghpc-applicationsnvidiapythontime-seriesstationarity
  Language:Jupyter Notebook 55

• baggiponte / awesome-pandas-alternatives

  Awesome list of alternative dataframe libraries in Python.

  awesomeawesome-listpythonpandassqlapache-arrowarrowpolarsdatafusionrapidsaidatatabledaskcudfblazingsql
  29

• ashishpatel26 / Rapidsai_Machine_learning_on_GPU

  Rapidsai_Machine_learnring_on_GPU

  cudfcumlnvidiapandasdaskdask-mlsklearnscikit-learnmachine-learningmachine-learning-algorithmsdeep-learning
  Language:Jupyter Notebook 9
• udsb

  unum-cloud / udsb

  Unlimited Data-Science Benchmarks for Numeric, Tabular and Graph Workloads

  numpyapache-arrowarrowcublascudfcugraphdaskmodinnetworkxpandassqlite
  Language:Jupyter Notebook 8

• gdaisukesuzuki / PKGBUILD_Rapids

  Building NVIDIA's RAPIDS (cuDF, cuML...) in Arch Linux

  rapidsarchlinuxnvidiaarch-linuxcumlcudfpkgbuild-rapidspythoncudacupygpu
  Language:Jupyter Notebook 7

• nasa-nccs-hpda / terragpu

  Python library to process and classify remote sensing imagery by means of GPUs and ML.

  aimlrasterearth-sciencevectorgpucupydasknumpycuspatialgeopandascudf
  Language:Python 7

• ritchieng / the-incredible-rapids

  The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.

  rapidscudfcumlcugraphblazingsql
  7

• bhattbhavesh91 / cuDF-RAPIDS-demo

  A simple demo of cuDF which is a RAPIDS GPU-Accelerated Dataframe Library!

  cudfrapidspandaspythongpuarrowcudagpu-dataframedemo
  Language:Jupyter Notebook 6

• HROlive / Python4HPC

  Python from an HPC viewpoint, the most practical tools, and various indispensable libraries for HPC use cases.

  cudfcythondaskdeveloper-toolshigh-performance-computingmpi4pynumpypandaspython
  Language:Jupyter Notebook 2

• mariamkhmahran / higgs-boson-discrimination

  GPU-based ML to classify Higgs boson signal from background in particle physics using RAPIDS framework

  accelerated-machine-learningclassificationcudfcumlhiggs-bosonlogistic-regressionmachine-learningparticle-physicspythonrandom-forestrapidsxgboost
  Language:Jupyter Notebook 1

• ankdeshm / inference-optimization

  A compilation of various ML and DL models and ways to optimize the their inferences.

  acceleration-modelcnn-classificationcudacudfcumlinference-optimizationnvidia-rapidspython3pytorchquantizationtorchscriptxgboost
  Language:Jupyter Notebook 0

• mhmatsumura / Ciencia_De_Dados

  Códigos PYTHON. Pandas, Scikit-Learning, Rapids, Cuml, Cudf.

  cudfcumlpandas-pythonrapidsscikitlearn-machine-learning
  Language:Jupyter Notebook 0

• bhattbhavesh91 / rapids-cudf-23-10-release-demo

  Supercharge Your Pandas Code with RAPIDS cuDF & pandas accelerator mode | RAPIDS cuDF 23.10

  cudfnvidianvidia-cudapandaspythonrapidsai
  Language:Jupyter Notebook

• nonjosh / cudf-test

  cuDF examples in Colab

  cudfcolab-notebookpython3
  Language:Jupyter Notebook