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PyTorch · By VectorSpaceLab
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when selecting Sentence Transformers inference backends or exporting/optimizing models for PyTorch, ONNX, or OpenVINO. | VectorSpaceLab/ | 328 | — | ~766 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 2 | Use this sub-skill for Torch-TensorRT model compilation, dynamic input planning, torch.export workflows, save/load formats, raw TensorRT engines, and compile-time troubleshooting. | VectorSpaceLab/ | 328 | — | ~1.3k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 3 | Use this sub-skill when constructing torchvision datasets, validating dataset roots and downloads, wrapping datasets for transforms v2, decoding or encoding images with torchvision.io, or using… | VectorSpaceLab/ | 328 | — | ~760 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 4 | A skill your agent uses when running RobustVideoMatting inference, loading weights, using convertvideo or TorchHub, converting image/video inputs, or reasoning about exported model runtimes. | VectorSpaceLab/ | 328 | — | ~1.2k | Automated safety check: Pass | GPL-3.0 | 1 mo ago |
| 5 | A skill your agent uses when working with RobustVideoMatting MattingNetwork APIs, recurrent states, model variants, refiners, tensor shapes, and safe synthetic forward checks. | VectorSpaceLab/ | 328 | — | ~1.1k | Automated safety check: Pass | GPL-3.0 | 1 mo ago |
| 6 | Use torchsummary.summary and torchsummary.summarystring to inspect PyTorch nn.Module shapes, parameter counts, devices, dtypes, and memory estimates. | VectorSpaceLab/ | 328 | — | ~847 | Automated safety check: Pass | MIT | 1 mo ago |
| 7 | Use torchvision.ops for boxes, NMS, ROI pooling/alignment, detection helper concepts, and extension-dependent troubleshooting. | VectorSpaceLab/ | 328 | — | ~698 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 8 | A skill your agent uses for PaddleViT's DINO self-supervised vision-transformer pretraining, multi-crop data contracts, teacher/student configuration, single- or multi-GPU launch planning… | VectorSpaceLab/ | 328 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 9 | Use Torch Points3D for point-cloud deep learning APIs, datasets/transforms, Hydra training/evaluation, checkpoints, sparse backend decisions, and registration workflows. | VectorSpaceLab/ | 328 | — | ~1.1k | Automated safety check: Pass | Unknown | 1 mo ago |
| 10 | A skill your agent uses for Torch-TensorRT tasks: compiling PyTorch models with TensorRT, dynamic-shape/export workflows, runtime optimization, Triton/C++/distributed deployment, debugging… | VectorSpaceLab/ | 328 | — | ~1.5k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 11 | 11.Torchmetrics Use TorchMetrics to choose, inspect, and combine metric families for PyTorch evaluation, including core API, domain metrics, model-based metrics, and wrappers. | VectorSpaceLab/ | 328 | — | ~964 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 12 | 12.Torchvision A skill your agent uses when working with TorchVision models, weights, transforms, TVTensors, datasets, image IO, visualization utilities, vision ops, detection helpers, or official reference… | VectorSpaceLab/ | 328 | — | ~1.1k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 13 | Use Towhee's optional PyTorch Trainer, TrainingConfig YAML, NNOperator training bridge, and towhee.models package boundaries safely. | VectorSpaceLab/ | 328 | — | ~676 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 14 | A skill your agent uses when planning or auditing TorchVision reference training/evaluation workflows for classification, quantization, detection, segmentation, video classification, optical flow… | VectorSpaceLab/ | 328 | — | ~684 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 15 | Guide safe video-file, webcam, and optional half-precision demo use for pytorch-yolo-v3. | VectorSpaceLab/ | 328 | — | ~626 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 16 | 16.Yolov5 A skill your agent uses for clone-run Ultralytics YOLOv5 workflows: detection, segmentation, classification, export, benchmarks, datasets, weights, and Flask REST serving. | VectorSpaceLab/ | 328 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
