RAPIDS Sample Notebooks
☆578Aug 4, 2023Updated 2 years ago
Alternatives and similar repositories for notebooks
Users that are interested in notebooks are comparing it to the libraries listed below
Sorting:
- RAPIDS Community Notebooks☆553Feb 3, 2026Updated last month
- [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf☆137Jun 27, 2019Updated 6 years ago
- cuML - RAPIDS Machine Learning Library☆5,148Updated this week
- GPU accelerated cross filtering with cuDF.☆306Updated this week
- [ARCHIVED] Dask support for multi-GPU machine learning algorithms --> Moved to cuml☆16Jul 30, 2019Updated 6 years ago
- cuDF - GPU DataFrame Library☆9,558Updated this week
- cuGraph - RAPIDS Graph Analytics Library☆2,143Updated this week
- ☆22Aug 28, 2020Updated 5 years ago
- RAPIDS GPU-BDB☆108Mar 5, 2024Updated 2 years ago
- A JupyterLab extension for displaying dashboards of GPU usage.☆669Feb 23, 2026Updated 3 weeks ago
- A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Num…☆310Nov 1, 2024Updated last year
- Utilities for Dask and CUDA interactions☆320Updated this week
- Dockerfile templates for creating RAPIDS Docker Images☆84Mar 13, 2026Updated last week
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆141Nov 1, 2024Updated last year
- [ARCHIVED] GPU String Manipulation --> Moved to cudf☆48Sep 24, 2019Updated 6 years ago
- A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acce…☆173May 19, 2023Updated 2 years ago
- http://rapids.ai☆21Dec 19, 2019Updated 6 years ago
- CUDA-accelerated GIS and spatiotemporal algorithms☆699Jul 28, 2025Updated 7 months ago
- ☆98Jun 28, 2023Updated 2 years ago
- BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.☆2,008Sep 16, 2022Updated 3 years ago
- cuSignal - RAPIDS Signal Processing Library☆738Sep 21, 2023Updated 2 years ago
- ☆350Jul 26, 2021Updated 4 years ago
- An intake plugin for loading datasets with geopandas☆15Dec 4, 2021Updated 4 years ago
- Simple machine learning in Python/Tensorflow with model saving☆14Jul 27, 2017Updated 8 years ago
- Conda recipes for xgboost☆12Aug 4, 2023Updated 2 years ago
- ☆11Mar 28, 2023Updated 2 years ago
- NVIDIA Data Science stack tools☆399Sep 5, 2023Updated 2 years ago
- H2Oai GPU Edition☆466Oct 24, 2024Updated last year
- ☆38Feb 3, 2026Updated last month
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,679Dec 1, 2025Updated 3 months ago
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,492Mar 1, 2026Updated 3 weeks ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,139Mar 12, 2026Updated last week
- Pangeo + Binder (dev repo for a binder/pangeo fusion concept)☆18Jul 23, 2021Updated 4 years ago
- Materials for the SciPy 2019 RAPIDS tutorial☆22Aug 26, 2019Updated 6 years ago
- ☆33Aug 14, 2020Updated 5 years ago
- GPU Optimization for Python☆10Mar 13, 2021Updated 5 years ago
- Demo notebooks inside a docker for end-to-end examples☆112Feb 22, 2018Updated 8 years ago
- Easy-to-run example notebooks for Dask☆387Nov 26, 2025Updated 3 months ago
- A multi-tenant server for securely deploying and managing Dask clusters.☆143Mar 2, 2026Updated 2 weeks ago