NVIDIA/cuopt-examples

cuopt-model-mapper

Map interpreted optimization problems into cuOpt-native models for the fast path with minimal clarifying questions.

لغة النص الأصلي: الإنجليزية

cuopt-sandbox

Run cuOpt in the NemoClaw sandbox — probe/smoke gates, prefer cancelable Python gRPC jobs, use legacy remote execution only when that API is unavailable, then vendored cuOpt skills.

لغة النص الأصلي: الإنجليزية

optimization-mode-router

Choose fast direct-to-cuOpt solve versus replayable or auditable model artifact mode.

لغة النص الأصلي: الإنجليزية

tabular-optimization-ingestion

Infer optimization structure from uploaded tables and identify minimal clarifications before cuOpt modeling.

لغة النص الأصلي: الإنجليزية

cuopt-debugging

Troubleshoot cuOpt LP/MILP problems including errors, wrong results, infeasible solutions, performance issues, and status codes. Use when the user says something isn't working, gets unexpected results, or needs help diagnosing issues.

لغة النص الأصلي: الإنجليزية

optimization-from-data-orchestrator

Coordinate uploaded data plus a natural-language question into interpretation, clarification, cuOpt solve, and a user-facing answer.

لغة النص الأصلي: الإنجليزية

optimization-intent-router

Classify whether a data-backed request is LP, MILP, QP, routing, or non-optimization analytics.

لغة النص الأصلي: الإنجليزية

generic-max-supply

Multi-period supply chain planning model: data files, BOM structure, variable/constraint reference for the max-supply base model.

لغة النص الأصلي: الإنجليزية