Arraymancer
mratsim
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Robotics IotReview before use
1.4KGitHub
OPENAGENTSKILL / DIRECTORY
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Results · “nvidia-gpu”
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Results: 91
Hedgehog Lab
Hedgehog-Computing
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environm…
2.4KGitHub
MetalPetal
MetalPetal
A GPU accelerated image and video processing framework built on Metal.
Media AutomationReview before use
2.2KGitHub
Redtail
NVIDIA-AI-IOT
Perception and AI components for autonomous mobile robotics.
Robotics IotReview before use
1KGitHub
Blazingsql
BlazingDB
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
DataReview before use
2KGitHub
1.9KGitHub
1.8KGitHub
dali-dynamic-mode
NVIDIA
DALI imperative dynamic mode (`nvidia.dali.experimental.dynamic`, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks.
CodingClaude Code
3.2KGitHub
cuopt-multi-objective-exploration
NVIDIA
Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
AutomationClaude Code
3.2KGitHub
cuopt-routing-api-python
NVIDIA
Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.
DesignClaude Code
3.2KGitHub
cuopt-numerical-optimization-formulation
NVIDIA
LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
AutomationClaude Code
3.2KGitHub
data-designer
NVIDIA
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
DesignClaude Code
3.2KGitHub
3.2KGitHub
cuopt-server-api-python
NVIDIA
cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
AutomationClaude Code
3.2KGitHub
aiq-deploy
NVIDIA
Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
AutomationClaude Code
3.2KGitHub
cuopt-install
NVIDIA
Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.
ResearchClaude Code
3.2KGitHub
External platform skills
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