PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
cuGraph - RAPIDS Graph Analytics Library
#计算机科学#BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
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,...
#计算机科学#Python client for OmniSci GPU-accelerated SQL engine and analytics platform
Very fast, accurate speaker diarization
#计算机科学#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 anomali...
#时序数据库#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.
#计算机科学#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 ...
Template repository for a Python 3-based (data) science project with GPU acceleration using NVIDIA RAPIDS libraries.
The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
Building NVIDIA's RAPIDS (cuDF, cuML...) in Arch Linux
