Compared the performance of cuDF-Off vs cuDF-On

Supercharge Your Polars Code with RAPIDS cuDF on a GPU

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

cuDF examples in Colab

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

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

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

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

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

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

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

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

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

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

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

Rapidsai_Machine_learnring_on_GPU

For when your data won't fit in your dataframe

Awesome list of alternative dataframe libraries in Python.

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.

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