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Projects in Awesome Lists tagged with rapids

A curated list of projects in awesome lists tagged with rapids .

https://github.com/graphistry/pygraphistry

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

csv cudf cugraph gpu graph graph-visualization graphistry igraph jupyter neo4j network-analysis network-visualization networkx pandas python rapids splunk tigergraph visualization webgl

Last synced: 13 May 2025

https://github.com/nvidia/spark-rapids

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

big-data gpu rapids spark

Last synced: 14 May 2025

https://github.com/NVIDIA/spark-rapids

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

big-data gpu rapids spark

Last synced: 04 Apr 2025

https://github.com/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.

graph-algorithms graph-libraries graph-thinking inference json-ld knowledge-graph networkx owl pandas parquet probabilistic-soft-logic python-igraph pyvis r2rml-mapping rapids rdflib roamresearch shacl skos sparql

Last synced: 01 May 2025

https://github.com/rapidsai/rmm

RAPIDS Memory Manager

cuda memory-allocation memory-management rapids

Last synced: 14 May 2025

https://github.com/heavyai/pymapd

Python client for OmniSci GPU-accelerated SQL engine and analytics platform

gpu gpu-dataframe hpc ibis machine-learning pydata python rapids sqlalchemy

Last synced: 27 Nov 2024

https://github.com/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.

deep-learning keras lstm machine-learning numpy pandas predictive-maintenance python rapids time-series

Last synced: 10 Apr 2025

https://github.com/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.

cudf fractional-differencing gpu-computing hpc-applications nvidia python rapids stationarity time-series

Last synced: 30 Apr 2025

https://github.com/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.

anomaly-detection autoencoders deep-learning generative-adversarial-network keras machine-learning notebook nvidia-gpu pandas python rapids tensorflow xgboost

Last synced: 12 May 2025

https://github.com/ritchieng/the-incredible-rapids

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

blazingsql cudf cugraph cuml rapids

Last synced: 30 Mar 2025

https://github.com/gerashegalov/rapids-shell

Utility to run/debug Spark RAPIDS in REPL

rapids repl spark

Last synced: 14 Feb 2025

https://github.com/bhattbhavesh91/cudf-rapids-demo

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

arrow cuda cudf demo gpu gpu-dataframe pandas python rapids

Last synced: 17 Apr 2025

https://github.com/bhattbhavesh91/rapids-cudf-cuml-example

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

cuda cuml deep-learning nvidia-gpu rapids rapidsai

Last synced: 09 Mar 2025

https://github.com/divakarkumarp/rapids-cudf-google-colab

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

colab-notebook cudf pandas rapids

Last synced: 15 Mar 2025

https://github.com/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.

accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost

Last synced: 18 Mar 2025

https://github.com/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.

deep-learning keras lstm machine-learning numpy pandas predictive-maintenance python rapids time-series

Last synced: 28 Mar 2025

https://github.com/bhattbhavesh91/polars-on-gpu

Supercharge Your Polars Code with RAPIDS cuDF on a GPU

cudf gpu polars polars-dataframe rapids

Last synced: 09 Mar 2025