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Topic: "cudf"

rapidsai/cudf

cuDF - GPU DataFrame Library

Language: C++ - Size: 155 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 8,907 - Forks: 945

graphistry/pygraphistry

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

Language: Python - Size: 27.5 MB - Last synced at: 1 day ago - Pushed at: 22 days ago - Stars: 2,256 - Forks: 215

BlazingDB/blazingsql

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

Language: C++ - Size: 41.4 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1,959 - Forks: 184

hi-primus/optimus

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

Language: Python - Size: 110 MB - Last synced at: about 22 hours ago - Pushed at: 5 months ago - Stars: 1,510 - Forks: 232

narwhals-dev/narwhals

Lightweight and extensible compatibility layer between dataframe libraries!

Language: Python - Size: 8.89 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 974 - Forks: 142

rapidsai/cuxfilter

GPU accelerated cross filtering with cuDF.

Language: Python - Size: 300 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 293 - Forks: 72

hi-primus/bumblebee

๐Ÿš• A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

Language: Vue - Size: 23 MB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 141 - Forks: 35

teddylee777/deepko

๋จธ์‹ ๋Ÿฌ๋‹/๋”ฅ๋Ÿฌ๋‹(PyTorch, TensorFlow) ์ „์šฉ ๋„์ปค์ž…๋‹ˆ๋‹ค. ํ•œ๊ธ€ ํฐํŠธ, ํ•œ๊ธ€ ์ž์—ฐ์–ด์ฒ˜๋ฆฌ ํŒจํ‚ค์ง€(konlpy), ํ˜•ํƒœ์†Œ ๋ถ„์„๊ธฐ, Timezone ๋“ฑ์˜ ์„ค์ • ๋“ฑ์„ ์ถ”๊ฐ€ ํ•˜์˜€์Šต๋‹ˆ๋‹ค.

Language: Jupyter Notebook - Size: 359 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 70 - Forks: 18

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.

Language: Jupyter Notebook - Size: 5.24 MB - Last synced at: 15 days ago - Pushed at: over 5 years ago - Stars: 56 - Forks: 11

baggiponte/awesome-pandas-alternatives

Awesome list of alternative dataframe libraries in Python.

Size: 21.5 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 48 - Forks: 2

intake/akimbo

For when your data won't fit in your dataframe

Language: Python - Size: 417 KB - Last synced at: 2 days ago - Pushed at: 25 days ago - Stars: 45 - Forks: 6

nasa-nccs-hpda/terragpu

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

Language: Python - Size: 23.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 1

unum-cloud/udsb

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

Language: Jupyter Notebook - Size: 3.57 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 1

ashishpatel26/Rapidsai_Machine_learning_on_GPU

Rapidsai_Machine_learnring_on_GPU

Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: about 11 hours ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 2

ritchieng/the-incredible-rapids

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

Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 1

gdaisukesuzuki/PKGBUILD_Rapids

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

Language: Jupyter Notebook - Size: 311 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2

bhattbhavesh91/cuDF-RAPIDS-demo

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

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 26 days ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 6

HROlive/Python4HPC

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

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 3 - Forks: 0

Parag000/GPU-Accelerated-ML-For-Big-Data-Processing

This project predicts the "Scariest Monster" using a dataset of 12 million entries and 106 features. Utilizing GPU-accelerated processing and the Random Forest Regressor using the Nvidia Rapids API. The goal is to minimize RMSE for accurate predictions

Language: Jupyter Notebook - Size: 296 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

mariamkhmahran/higgs-boson-discrimination

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

Language: Jupyter Notebook - Size: 9.6 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

HROlive/Fundamentals-of-Accelerated-Data-Science

How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.

Language: Jupyter Notebook - Size: 33.1 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

bhattbhavesh91/polars-on-gpu

Supercharge Your Polars Code with RAPIDS cuDF on a GPU

Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

divakarkumarp/RAPIDS-cuDF-Google-colab

RAPIDS cuDF Instantly Accelerates pandas up to 50x on Google Colab With Demo

Language: Jupyter Notebook - Size: 37.1 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

divakarkumarp/cuDF-Off-Vs-cuDF-On

Compared the performance of cuDF-Off vs cuDF-On

Language: Jupyter Notebook - Size: 72.3 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

mhmatsumura/Ciencia_De_Dados

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

Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ankdeshm/inference-optimization

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

Language: Jupyter Notebook - Size: 6.17 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

nonjosh/cudf-test

cuDF examples in Colab

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

irill/cudf

libCUDF is a reference implementation of CUDF (Common Upgradeability Description Format), a document format to describe package upgrade scenarios, in a package manager agnostic way.

Last synced at: over 2 years ago - Stars: 0 - Forks: 1