Tao Port Huggingface Model
NVIDIAOfficial
Integrate HuggingFace Computer Vision models into the NVIDIA TAO Toolkit ecosystem.
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1928 skills
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Integrate HuggingFace Computer Vision models into the NVIDIA TAO Toolkit ecosystem.
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Automate camera calibration by recording and processing live RTSP streams via the AutoMagicCalib REST API.
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A systematic methodology for porting and validating computer vision research code on custom datasets.
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Validates Jetson BSP images through static disk checks and on-target system testing.
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Centralized entrypoint for configuring Jetson and IGX BSP development environments.
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A comprehensive guide for building, migrating, and maintaining third-party NVIDIA NeMo Fabric adapters.
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Guidance for implementing RDMA data movement on NVIDIA BlueField and ConnectX hardware using the DOCA RDMA library.
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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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Develop, test, and package external Holoscan Modules using the Holoscan CLI.
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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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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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Registers local Jetson reference documentation paths into an active target-platform profile.
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A comprehensive guide for onboarding new model architectures into the NeMo AutoModel framework.
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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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Provides guidance for implementing and debugging DOCA Ethernet packet-queue operations on NVIDIA BlueField DPUs and ConnectX NICs.
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Automates the triage of failing GitHub Actions jobs into structured bug reports.
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Configure and evaluate adaptive plugin behavior for NeMo Relay applications to optimize performance and request handling.
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Builds a native, single-GPU cuDF proof of concept for query engines, focusing on adapter integration and buffer ownership.
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Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or translating cuTile Python kernels to Julia cuTile.jl, or debugging/optimizing existing Julia cuTile translations.
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Prepare and validate object-detection false-negative data for AnomalyGenNext generation workflows.
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Plan, install, and validate NVSHMEM and NVSHMEM4Py across various environments.