cudf
There are 31 repositories under cudf topic.
rapidsai/cudf
cuDF - GPU DataFrame Library
graphistry/pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
BlazingDB/blazingsql
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
hi-primus/optimus
:truck: Agile Data Preparation Workflows madeย easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
narwhals-dev/narwhals
Lightweight and extensible compatibility layer between dataframe libraries!
rapidsai/cuxfilter
GPU accelerated cross filtering with cuDF.
hi-primus/bumblebee
๐ A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)
teddylee777/deepko
๋จธ์ ๋ฌ๋/๋ฅ๋ฌ๋(PyTorch, TensorFlow) ์ ์ฉ ๋์ปค์ ๋๋ค. ํ๊ธ ํฐํธ, ํ๊ธ ์์ฐ์ด์ฒ๋ฆฌ ํจํค์ง(konlpy), ํํ์ ๋ถ์๊ธฐ, Timezone ๋ฑ์ ์ค์ ๋ฑ์ ์ถ๊ฐ ํ์์ต๋๋ค.
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.
baggiponte/awesome-pandas-alternatives
Awesome list of alternative dataframe libraries in Python.
intake/akimbo
For when your data won't fit in your dataframe
CangyuanLi/checkedframe
Lightweight, engine-agnostic dataframe validation
ashishpatel26/Rapidsai_Machine_learning_on_GPU
Rapidsai_Machine_learnring_on_GPU
nasa-nccs-hpda/terragpu
Python library to process and classify remote sensing imagery by means of GPUs and ML.
unum-cloud/udsb
Unlimited Data-Science Benchmarks for Numeric, Tabular and Graph Workloads
ritchieng/the-incredible-rapids
The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
gdaisukesuzuki/PKGBUILD_Rapids
Building NVIDIA's RAPIDS (cuDF, cuML...) in Arch Linux
bhattbhavesh91/cuDF-RAPIDS-demo
A simple demo of cuDF which is a RAPIDS GPU-Accelerated Dataframe Library!
HROlive/Python4HPC
Python from an HPC viewpoint, the most practical tools, and various indispensable libraries for HPC use cases.
mariamkhmahran/higgs-boson-discrimination
GPU-based ML to classify Higgs boson signal from background in particle physics using RAPIDS framework
ankdeshm/inference-optimization
A compilation of various ML and DL models and ways to optimize the their inferences.
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
lmuffato/jiboia-gpu
jiboia-gpu is a Python package to normalize and optimize DataFrames automatically efficiently using the Nvidia GPU in the RAPIDS ecosystem.
mhmatsumura/Ciencia_De_Dados
Cรณdigos PYTHON. Pandas, Scikit-Learning, Rapids, Cuml, Cudf.
bhattbhavesh91/polars-on-gpu
Supercharge Your Polars Code with RAPIDS cuDF on a GPU
bhattbhavesh91/rapids-cudf-23-10-release-demo
Supercharge Your Pandas Code with RAPIDS cuDF & pandas accelerator mode | RAPIDS cuDF 23.10
committopush/ML_Bitcoin_Transactions_Analysis
Analysis of Bitcoin transactions with Pandas, PySpark, cuDF, cuGraph: trends, classification, and clustering.
divakarkumarp/cuDF-Off-Vs-cuDF-On
Compared the performance of cuDF-Off vs cuDF-On
divakarkumarp/RAPIDS-cuDF-Google-colab
RAPIDS cuDF Instantly Accelerates pandas up to 50x on Google Colab With Demo
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.
nonjosh/cudf-test
cuDF examples in Colab