Last commit on August 3, 2026·Created on February 25, 2026
NVIDIA/skills
“A technical library for accelerating data pipelines and optimization workflows on NVIDIA GPUs”
Combined rank
#93
across all skills
In Developer Tooling
#5
category rank
Stars
2.8k
+2.8% in last 7d
Forks
324
+2.5% in last 7d
Watchers
18
-5.3% in last 7d
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This repository provides specialized guidance for developers and data engineers working with GPU-accelerated computing. It focuses on transitioning heavy workloads—such as ETL processes, joins, and Parquet/CSV pipelines—from CPUs to GPUs using cuDF and dask-cuDF.
The collection also supports quant developers solving complex optimization problems, including linear and quadratic programming, routing, and Mean-CVaR portfolio optimization via cuOpt and cuFOLIO.