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NVIDIA AI Platform · Machine learning
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Plans memory headroom, works through out-of-memory failures and watches temperature and power during long ML training jobs on NVIDIA DGX Spark. | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 5 days ago |
| 2 | A skill your agent uses for GPU-accelerated machine learning on tabular data using NVIDIA cuML. | wahyudesu/ | 114 | — | ~1.8k | Automated safety check: Pass | MIT | 5 mo ago |
| 3 | GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. | K-Dense-AI/ | 48k | 1 repo | ~3.4k | Automated safety check: Pass | MIT | 5 days ago |
| 4 | LLM and ML model deployment for inference. An agent skill from ancoleman/ai-design-components. | ancoleman/ | 525 | — | ~3.4k | Automated safety check: Pass | MIT | 10 mo ago |
| 5 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | sickn33/ | 47k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 6 | Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). | NVIDIA/ | 3.6k | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 7 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | BagelHole/ | 1.2k | — | ~2.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 8 | GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile. | Mathews-Tom/ | 329 | — | ~3.5k | Automated safety check: Notes | MIT | 4 days ago |