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NVIDIA AI Platform
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 289 | 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 |
| 290 | 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 |
| 291 | 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 |
| 292 | 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 |
| 293 | 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 |
| 294 | 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 |
| 295 | 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 |
| 296 | 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 |
| 297 | 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 |
| 298 | 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 |
| 299 | 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 |
| 300 | 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 |
| 301 | 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 |
| 302 | 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 |
| 303 | 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 |
| 304 | 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 |
| 305 | 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 |
| 306 | 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 |
| 307 | 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 |
| 308 | 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 |
| 309 | 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 |
| 310 | Mask2Former for universal image segmentation (panoptic, instance, and semantic). | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 311 | 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 |
| 312 | NVDINOv2 for self-supervised visual representation learning. | NVIDIA/ | 3.6k | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 313 | 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 |
| 314 | 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 |
| 315 | 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 |
| 316 | PointPillars for 3D object detection from LiDAR point clouds. | NVIDIA/ | 3.6k | — | ~4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 317 | 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 |
| 318 | 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 |
| 319 | 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 |
| 320 | 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 |
| 321 | 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 |
| 322 | 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 |
| 323 | Runs NVIDIA garak probe suites (jailbreak, prompt injection, data leakage, toxicity, and more) against an LLM endpoint - Hugging Face models, OpenAI-compatible APIs, or Bedrock - then interprets the… | mukul975/ | 34k | — | ~2.9k | Automated safety check: Warn | Apache-2.0 | 1 mo ago |
| 324 | Deploys Llama Guard 3 safety classification, NeMo Guardrails programmable dialogue rails, and LLM Guard input/output scanner pipelines as complementary runtime defenses that inspect and constrain… | mukul975/ | 34k | — | ~3.1k | Automated safety check: Warn | Apache-2.0 | 1 mo ago |
| 325 | Triage a dead or degraded GPU on a CoreWeave node fast — decide reschedule vs GPU-reset vs node-reboot vs RMA from an Xid code or a pasted dmesg / nvidia-smi blob, so a bad card does not silently… | jeremylongshore/ | 2.8k | — | ~3.2k | Automated safety check: Pass | MIT | yesterday |
| 326 | Cross-engine decision rubric for self-hosting or recommending an LLM serving stack. | agentsope/ | 436 | — | ~6.1k | Automated safety check: Pass | MIT | 2 days ago |
| 327 | 327.Agentsop Vllm Decision SOP for serving LLMs with vLLM. An agent skill from agentsope/SkillAlchemy. | agentsope/ | 436 | — | ~6.1k | Automated safety check: Pass | MIT | 2 days ago |
| 328 | 328.Engine Sglang Serve a Hugging Face model with SGLang on a Linux machine with an NVIDIA or AMD GPU, configured from the model's SGLang cookbook page — or, when it has none, from the model's own files — and join it… | autonomous-ai/ | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 329 | 329.Engine Vllm Serve a Hugging Face model with vLLM on a Linux machine with an NVIDIA or AMD GPU, configured from the model's official vLLM recipe — or, when it has none, from the model's own files — and join it… | autonomous-ai/ | 1.2k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 330 | 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 |
| 331 | 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 |
| 332 | Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. | microsoft/ | 255 | — | ~764 | Automated safety check: Pass | MIT | yesterday |
| 333 | Create and push a signed, annotated NeMo Relay beta tag from its release branch or validated main. | NVIDIA/ | 192 | — | ~728 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 334 | Create and push a signed, annotated NeMo Relay release-candidate tag from its validated release branch. | NVIDIA/ | 192 | — | ~635 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 335 | Create and push a signed, annotated NeMo Relay stable tag, then prepare an unpublished GitHub Release draft for review. | NVIDIA/ | 192 | — | ~827 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 336 | 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 |