NVIDIA/cuopt-examples

cuopt-model-mapper

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

Langue du texte source : anglais

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.

Langue du texte source : anglais

optimization-mode-router

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

Langue du texte source : anglais

tabular-optimization-ingestion

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

Langue du texte source : anglais

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.

Langue du texte source : anglais

optimization-from-data-orchestrator

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

Langue du texte source : anglais

optimization-intent-router

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

Langue du texte source : anglais

generic-max-supply

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

Langue du texte source : anglais