cudf
There are 0 repository under cudf topic.
- Language:C++ 9180
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 2235- blazingsql
BlazingDB / blazingsql
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Language:C++ 1985 hi-primus / optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Language:Python 1517narwhals-dev / narwhals
Lightweight and extensible compatibility layer between dataframe libraries!
Language:Python 1287- cuxfilterLanguage:Python 300
🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)
Language:Vue 141teddylee777 / deepko
머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Language:Jupyter Notebook 70- 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.
Language:Jupyter Notebook 56 baggiponte / awesome-pandas-alternatives
Awesome list of alternative dataframe libraries in Python.
- Language:Python 41
ashishpatel26 / Rapidsai_Machine_learning_on_GPU
Rapidsai_Machine_learnring_on_GPU
Language:Jupyter Notebook 9nasa-nccs-hpda / terragpu
Python library to process and classify remote sensing imagery by means of GPUs and ML.
Language:Python 9- udsb
unum-cloud / udsb
Unlimited Data-Science Benchmarks for Numeric, Tabular and Graph Workloads
Language:Jupyter Notebook 9 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
Language:Jupyter Notebook 7bhattbhavesh91 / cuDF-RAPIDS-demo
A simple demo of cuDF which is a RAPIDS GPU-Accelerated Dataframe Library!
Language:Jupyter Notebook 6HROlive / Python4HPC
Python from an HPC viewpoint, the most practical tools, and various indispensable libraries for HPC use cases.
Language:Jupyter Notebook 3ankdeshm / inference-optimization
A compilation of various ML and DL models and ways to optimize the their inferences.
Language:Jupyter Notebook 1mariamkhmahran / higgs-boson-discrimination
GPU-based ML to classify Higgs boson signal from background in particle physics using RAPIDS framework
Language:Jupyter Notebook 1Parag000 / 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 1mhmatsumura / Ciencia_De_Dados
Códigos PYTHON. Pandas, Scikit-Learning, Rapids, Cuml, Cudf.
Language:Jupyter Notebook 0Supercharge Your Polars Code with RAPIDS cuDF on a GPU
Language:Jupyter NotebookSupercharge Your Pandas Code with RAPIDS cuDF & pandas accelerator mode | RAPIDS cuDF 23.10
Language:Jupyter Notebookcommittopush / ML_Bitcoin_Transactions_Analysis
Analysis of Bitcoin transactions with Pandas, PySpark, cuDF, cuGraph: trends, classification, and clustering.
Language:Jupyter Notebookdivakarkumarp / cuDF-Off-Vs-cuDF-On
Compared the performance of cuDF-Off vs cuDF-On
Language:Jupyter NotebookRAPIDS cuDF Instantly Accelerates pandas up to 50x on Google Colab With Demo
Language:Jupyter NotebookHow to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.
Language:Jupyter Notebook- Language:Jupyter Notebook
