rapids · GitHub Topics

rapidsai / cudf

cuDF - GPU DataFrame Library

翻译 - cuDF-GPU数据框库

gpu rapids cudf arrow CUDA pandas dataframe dask 数据分析数据科学 pydata C++Python

C++ 8.75 k

9 小时前

graphistry / pygraphistry

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

graph 可视化 gpu Python rapids networkx Neo4j pandas CSV webgl splunk cudf Jupyter Notebook igraph network-analysis network-visualization graph-visualization

Python 2.22 k

21 天前

BlazingDB / blazingsql

#计算机科学#BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

翻译 - BlazingSQL是一个基于RAPIDS的轻量级GPU加速的SQL引擎。

rapidsai SQL Python 机器学习 machine-learning-workflow 人工智能 gpu-acceleration gpu rapids 数据科学 cudf sql-engine arrow conda-environment

C++ 1.95 k

2 年前

rapidsai / cugraph

cuGraph - RAPIDS Graph Analytics Library

rapids Nvidia gpu CUDA graph graph-algorithms graph-analysis graph-framework graphml complex-networks

Cuda 1.9 k

1 天前

NVIDIA / spark-rapids

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

Apache Spark gpu rapids big-data

Scala 869

6 天前

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,...

knowledge-graph networkx parquet graph-algorithms json-ld sparql pandas owl inference rapids roamresearch

Jupyter Notebook 608

4 个月前

rapidsai / rmm

RAPIDS Memory Manager

rapids CUDA memory-management memory-allocation

C++ 551

1 天前

rapidsai / cuxfilter

GPU accelerated cross filtering with cuDF.

gpu crossfilter rapids 可视化 cudf

Python 285

7 天前

heavyai / pymapd

#计算机科学#Python client for OmniSci GPU-accelerated SQL engine and analytics platform

gpu sqlalchemy pydata 机器学习 rapids gpu-dataframe Python hpc

Python 111

4 年前

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

#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...

深度学习 Keras lstm 机器学习 NumPy pandas Python rapids time-series

Jupyter Notebook 60

2 个月前

ritchieng / fractional_differencing_gpu

#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.

rapids cudf gpu-computing Nvidia Python time-series

Jupyter Notebook 56

5 年前

rapidsai / nx-cugraph

GPU Accelerated Backend for NetworkX

graph networkx CUDA rapids

Python 38

15 天前

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

#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 ...

anomaly-detection Generative Adversarial Network Keras notebook Nvidia pandas Python rapids Tensorflow xgboost 深度学习机器学习

Jupyter Notebook 37

4 个月前

BlazingDB / Welcome_to_BlazingSQL_Notebooks

#计算机科学#RAPIDS data science. No setup required.

gpu 数据科学 rapids jupyterlab dask notebooks SQL Demo 数据可视化机器学习

Jupyter Notebook 20

4 年前