rapidsai/cugraph-docs

cuGraph Docs - RAPIDS Graph Analytics Documentation

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lmuffato/jiboia-gpu

jiboia-gpu is a Python package to normalize and optimize DataFrames automatically efficiently using the Nvidia GPU in the RAPIDS ecosystem.

Language: Python - Size: 25.4 KB - Last synced at: about 7 hours ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

engasd999/senko

⚡ Accelerate speaker diarization with Senko, processing 1 hour of audio in just 5 seconds on powerful hardware—boost your audio analysis efficiency.

Language: Python - Size: 58 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

SzymiczeQ/zanshin

🎧 Navigate audio content effortlessly with Zanshin, a media player that enhances your listening experience by speaker, supporting both YouTube and local files.

Language: Svelte - Size: 5.01 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

rapidsai/cudf

cuDF - GPU DataFrame Library

Language: C++ - Size: 163 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 9,157 - Forks: 967

DerwenAI/kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: 1 day ago - Pushed at: 18 days ago - Stars: 638 - Forks: 71

NVIDIA/spark-rapids

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

Language: Scala - Size: 59.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 928 - Forks: 255

rapidsai/nx-cugraph

GPU Accelerated Backend for NetworkX

Language: Python - Size: 7.61 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 73 - Forks: 25

narcotic-sh/senko

A very fast speaker diarization pipeline

Language: Python - Size: 56.7 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

rapidsai/cuxfilter

GPU accelerated cross filtering with cuDF.

Language: Python - Size: 303 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 298 - Forks: 71

rapidsai/cugraph

cuGraph - RAPIDS Graph Analytics Library

Language: Cuda - Size: 65.1 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2,033 - Forks: 334

rapidsai/rmm

RAPIDS Memory Manager

Language: C++ - Size: 5.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 612 - Forks: 225

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: 103 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2,320 - Forks: 215

HROlive/Applications-of-AI-for-Predictive-Maintenance

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 15 days ago - Pushed at: 8 months ago - Stars: 74 - Forks: 18

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: 37.9 MB - Last synced at: 30 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: 3 months ago - Pushed at: almost 3 years ago - Stars: 1,979 - Forks: 184

HROlive/Applications-of-AI-for-Anomaly-Detection

Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.

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Md-Emon-Hasan/Accelerate-scikit-learn-with-NVIDIA-cuML

This project integrates NVIDIA's cuML library with scikit-learn to accelerate classical machine learning algorithms using GPU. It enables faster training and inference by leveraging RAPIDS for scalable, high-performance ML workflows.

Language: Jupyter Notebook - Size: 181 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

edward38978/Applications-of-AI-for-Predictive-Maintenance

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.

Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ritchieng/the-incredible-rapids

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

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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: 4 months ago - Pushed at: almost 6 years ago - Stars: 56 - Forks: 11

gulabpatel/AutoML

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 0

JayjeetAtGithub/avs

A header-only library for accelerating vector searches using Intel AMX (Advanced Matrix Extensions)

Language: C++ - Size: 574 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

gerashegalov/rapids-shell

Utility to run/debug Spark RAPIDS in REPL

Language: Jupyter Notebook - Size: 192 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 7 - Forks: 3

bhattbhavesh91/polars-on-gpu

Supercharge Your Polars Code with RAPIDS cuDF on a GPU

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divakarkumarp/RAPIDS-cuDF-Google-colab

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

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bhattbhavesh91/rapids-cudf-cuml-example

Running KNN algorithm much faster on GPU for free using RAPIDS packages like cuML and cuDF

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BlazingDB/Welcome_to_BlazingSQL_Notebooks

RAPIDS data science. No setup required.

Language: Jupyter Notebook - Size: 189 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 13

thetemplates/python-cudf

For graphics processing unit accelerated data science via rapids.ai

Language: Python - Size: 41 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KAUST-Academy/nvidia-rapids-data-science-project

Template repository for a Python 3-based (data) science project with GPU acceleration using NVIDIA RAPIDS libraries.

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gumdropsteve/turbo-telegram

GPU accelerated Jupyter dashboard.

Language: Jupyter Notebook - Size: 165 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 5

gumdropsteve/silent-disco

Self-contained demo Notebooks.

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gumdropsteve/bsql-demos Fork of BlazingDB/bsql-demos

Example notebooks using BlazingSQL with the RAPIDS AI ecoystem.

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taher-software/Shopee---Price-Match-Guarantee

Shopee is the leading e-commerce platform in Southeast Asia and Taiwan. Customers appreciate its easy, secure, and fast online shopping experience tailored to their region. The company also provides strong payment and logistical support along with a 'Lowest Price Guaranteed' feature on thousands of Shopee's listed products. In this competition, we had been requested to build a model that predicts which items are the same products for Shopee company.

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mariamkhmahran/higgs-boson-discrimination

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

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jantra-io/jantra-river-pond

Rapids and rivers interpretation and implementation by @alpet

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gdaisukesuzuki/PKGBUILD_Rapids

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

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mhmatsumura/Ciencia_De_Dados

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

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RazHoshia/Wids2021EvalMLRapids

combination of EvalML with Rapids for the WiDS 2021 competition

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neuro-inc/ml-recipe-rapids

Size: 6.84 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

fdasilva59/Docker-AI

Easily build a customizable, ready to use Docker Image for some AI/Data Science/Deep Learning experiments.

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bhattbhavesh91/cuDF-RAPIDS-demo

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

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ghadikq/Mortgage_Prediction

Predict loan amount using RAPIDS libraries.

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