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NVIDIA AI Platform · NVIDIA/skills
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, carline adaptation, PhysicalAI HF datasets. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 98 | Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse… | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 99 | Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and… | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 100 | A skill your agent uses when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, Mean-Variance/SOCP variance caps, efficient frontiers, scenario… | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 101 | Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 102 | Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via docker run … gapanalysis vcnaoi … — picks the… | NVIDIA/ | 3.6k | — | ~4.3k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 103 | CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 104 | Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 105 | NV-Tesseract AD Diffusion — diffusion-based anomaly detection and fine-tuning for multivariate time series. | NVIDIA/ | 3.6k | — | ~2.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 106 | NV-Tesseract Forecasting — transformer-based multivariate time series forecasting with DARR (context-enhanced kNN retrieval), interpretability, and fine-tuning. | NVIDIA/ | 3.6k | — | ~3.2k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 107 | InternVideo2-CLIP L14 (TAO videoclip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 108 | Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning… | NVIDIA/ | 3.6k | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 109 | The mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 110 | Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement on the… | NVIDIA/ | 3.6k | — | ~4.3k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 111 | Run the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models: baseline evaluate, RCA, Cosmos AnomalyGen / AMP synthetic defects, k-NN mining, retraining… | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 112 | BEVFusion for multi-sensor 3D object detection. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 113 | CenterPose for keypoint / pose estimation. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~2.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 114 | Co-DETR (CoDINO) for object detection. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 115 | Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 116 | DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. | NVIDIA/ | 3.6k | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 117 | Real-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant of FoundationStereo. | NVIDIA/ | 3.6k | — | ~3k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 118 | Stereo depth estimation using FoundationStereo. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.2k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 119 | Grounding DINO for open-set object detection. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 120 | PyTorch-based TAO image classification. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 121 | Masked Auto-Encoder (MAE) for self-supervised pretraining and fine-tuning. | NVIDIA/ | 3.6k | — | ~2.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 122 | Mask Grounding DINO for grounded instance segmentation. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 123 | Mask2Former for universal image segmentation (panoptic, instance, and semantic). | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 124 | Metric-learning recognition (ml-recog) for fine-grained visual recognition. | NVIDIA/ | 3.6k | — | ~2.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 125 | NVDINOv2 for self-supervised visual representation learning. | NVIDIA/ | 3.6k | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 126 | OCDNet for scene text detection. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 127 | OCRNet for scene text recognition. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 128 | OneFormer for universal image segmentation. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 129 | PointPillars for 3D object detection from LiDAR point clouds. | NVIDIA/ | 3.6k | — | ~4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 130 | Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). | NVIDIA/ | 3.6k | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 131 | RT-DETR (Real-Time DEtection TRansformer) for 2D object detection. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 132 | SegFormer for semantic segmentation. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.7k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 133 | A skill your agent uses when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. | NVIDIA/ | 3.6k | — | ~3.7k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 134 | A skill your agent uses to call the VIOS REST API (sensor list, timelines, clip extraction, snapshots, add/delete sensors and streams). | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 135 | A skill your agent uses to run top-level VSS fusion search on archived video, or to ingest video files / RTSP streams for search. | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 136 | cuOpt REST server — start server, endpoints, Python/curl client examples. | NVIDIA/ | 3.6k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 137 | Prepare and run PAIDF Cosmos Predict video generation for DEFT media samples. | NVIDIA/ | 3.6k | — | ~4.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 138 | Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 139 | LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 140 | A skill your agent uses when the user is deploying or operating the DOCA Argus Service — the packaged BlueField-side runtime-security container that watches the BlueField and attached host for… | NVIDIA/ | 3.6k | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 141 | Operate NVIDIA DOCA Management Service (dmsd + dmspe) on a BlueField, Arm/x86 host, or Kubernetes pod: choose deployment and authentication, configure -allowedusers and dmsgroup, use gNMI… | NVIDIA/ | 3.6k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 142 | Build and debug DOCA Flow applications on supported NVIDIA NICs/DPUs: define match/action pipes, initialize ports and representors, choose forwarding targets, validate pipes before hardware… | NVIDIA/ | 3.6k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 143 | A skill your agent uses for hands-on DOCA GPI programming — wiring a GPU-Packet-Initiator context so a CUDA kernel drives RDMA queues directly from GPU memory without host CPU mediation. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 144 | A skill your agent uses when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via docagpuethrxq / docagpuethtxq, standing up the… | NVIDIA/ | 3.6k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | 2 days ago |