Nemo Relay Migrate From Flow
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Automated migration of projects and codebases from NeMo Flow to NeMo Relay.
Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
5813 skills
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Automated migration of projects and codebases from NeMo Flow to NeMo Relay.
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Evaluate RAG pipeline quality using filesystem-based benchmarks and RAGAS metrics.
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Continual self-supervised pre-training for DINOv3 vision transformer backbones.
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Integrate DOCA capabilities into existing DPDK applications without rewriting the data-plane.
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A guide for converting single-node scripts to multi-node Slurm jobs and troubleshooting distributed training failures.
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A unified routing skill for deploying, running, and testing NVIDIA Nemotron Speech (Riva) NIMs for ASR, TTS, and NMT tasks.
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Develop, test, and package external Holoscan Modules using the Holoscan CLI.
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Record human-led teleoperation demonstrations into HDF5 datasets for healthcare robotics workflows.
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Execute TAO container jobs on Kubernetes clusters using native Jobs and GPU scheduling.
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Set up the standalone IsaacLabTraining package from NVIDIA-ISAAC-ROS/isaac_ros_manipulation, then launch, monitor, resume, evaluate, and tune DisplayPort insertion policies without a separate Isaac Lab source installation. Use for setup and campaign planning, dependency repair, curriculum or PhysX troubleshooting, video evidence, and long GPU runs.
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A workflow for designing and generating synthetic datasets using the Data Designer library.
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Masked Auto-Encoder (MAE) tool for self-supervised visual representation learning, pretraining, and fine-tuning within the TAO ecosystem.
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Operational guide for configuring and verifying hierarchical context parallelism in Megatron-Bridge.
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Deploy and interact with the NVIDIA cuOpt REST server for routing and optimization tasks.
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Integrates NeMo Retriever MCP tools for document searching and ingestion within agent workflows.
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Registers local Jetson reference documentation paths into an active target-platform profile.
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Guides first-time NeMo Relay users through selecting and executing the appropriate quick-start integration path.
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A comprehensive guide for onboarding new model architectures into the NeMo AutoModel framework.
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Define equivariant groups, irreps, and tensor products for NumPy-based mathematical modeling.
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Executes the complete Isaac for Healthcare data-to-policy pipeline from recording through checkpoint validation.
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Automated hyperparameter optimization for NVIDIA TAO networks using AutoMLRunner.
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Setup and repair the FoundationPose perception pipeline and its associated TensorRT depth engines.
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Generate synthetic PCB inspection images on Kubernetes with the SMT Defect Image Generation (DIG) DAG in CDF Orchestration. The DAG renders components in simulation, turns the renders into realistic golden images (sim2real), and uses AnomalyGen to add texture defects such as solder bridges, excess solder or missing components. Simulation can also render shift, tombstone and sideflip pose defects. Use it to build DIG payloads, pick a pipeline mode (full, simulation, sim2real or defect-only), check GPU readiness, follow a run, and match each defect image to its golden and simulated source. Not for running Simulation, Augmentation or AnomalyGen on their own.
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Provides guidance for implementing and debugging DOCA Ethernet packet-queue operations on NVIDIA BlueField DPUs and ConnectX NICs.