creator profile · 234 approved skills · page 4 of 24
nvidia publishes 234 approved skills on explainx.ai. This page loads 10 skills at a time. Current page is led by tao-train-visual-changenet.
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Visual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training,
Optical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturing
OCRNet for scene text recognition. Recognizes text content from cropped text-region images and supports CTC
RT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with
Person re-identification (ReID). Learns discriminative embeddings to match the same person across different
Converts cuTile GPU kernels (@ct.kernel) to Triton (@triton.jit). Handles standard in-repo conversion, debugging (cudaErrorIllegalAddress, shape mismatch, numerical mismatch), and…
Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune config…
Integrate TileGym kernels into Hugging Face `transformers` models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' i…
PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a
SegFormer for semantic segmentation. Lightweight transformer-based architecture with hierarchical feature
