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PyTorch · Computer vision
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns. | Orchestra-Research/ | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. | davila7/ | 33k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | today |
| 3 | Build production computer vision pipelines for object detection, tracking, and video analysis. | curiositech/ | 244 | — | ~4k | Automated safety check: Pass | MIT | 1 mo ago |
| 4 | Computer vision engineering skill for object detection, image segmentation, and visual AI systems. | alirezarezvani/ | 28k | 1 repo | ~3.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 5 | 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 | yesterday |
| 6 | 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 | yesterday |
| 7 | PyTorch-based TAO image classification. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 8 | Creates MATLAB interfaces to Python image processing and computer vision models from GitHub repositories or pip-installable packages using MPyReq. | matlab/ | 1.1k | — | ~3.7k | Automated safety check: Pass | Unknown | 2 days ago |
| 9 | Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 10 | Design and execute computational social science analyses across 11 modules: text-as-data/NLP (STM, BERTopic, Wordfish, BERT, conText embedding regression, LLM annotation + DSL bias correction… | joshzyj/ | 168 | — | ~15k | Automated safety check: Pass | Unknown | 22 days ago |
| 11 | Guide safe video-file, webcam, and optional half-precision demo use for pytorch-yolo-v3. | VectorSpaceLab/ | 331 | — | ~626 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 12 | 12.Yolov5 A skill your agent uses for clone-run Ultralytics YOLOv5 workflows: detection, segmentation, classification, export, benchmarks, datasets, weights, and Flask REST serving. | VectorSpaceLab/ | 331 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |