rapids
Here are 28 public repositories matching this topic...
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
-
Updated
Sep 16, 2022 - C++
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
-
Updated
Dec 17, 2022 - Python
cuGraph - RAPIDS Graph Analytics Library
-
Updated
Dec 18, 2022 - Cuda
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.
-
Updated
Dec 9, 2022 - Jupyter Notebook
GPU accelerated cross filtering with cuDF.
-
Updated
Dec 14, 2022 - Jupyter Notebook
Python client for OmniSci GPU-accelerated SQL engine and analytics platform
-
Updated
Sep 3, 2021 - Python
Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
-
Updated
Oct 4, 2019 - Jupyter Notebook
RAPIDS data science. No setup required.
-
Updated
Mar 30, 2021 - Jupyter Notebook
Template repository for a Python 3-based (data) science project with GPU acceleration using NVIDIA RAPIDS libraries.
-
Updated
Jul 5, 2022 - Shell
The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
-
Updated
Oct 2, 2019
GPU accelerated Jupyter dashboard.
-
Updated
Jun 18, 2020 - Jupyter Notebook
-
Updated
Oct 2, 2021 - Jupyter Notebook
Improve this page
Add a description, image, and links to the rapids topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rapids topic, visit your repo's landing page and select "manage topics."