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AI & LLM Engineering · ONNX
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | End-to-end ONNX PTQ workflow for AMD Quark — from a .onnx file (and calibration data) to a quantized .onnx output. | amd/ | 182 | — | ~4.5k | Automated safety check: Pass | MIT | 13 days ago |
| 50 | 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 |
| 51 | 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 | yesterday |
| 52 | 学習済み Lightning checkpoint (.ckpt) を ONNX export → sanity check → RTF benchmark → HuggingFace upload まで連鎖実行する read-mostly skill。 | ayutaz/ | 234 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 53 | Build a Quark ONNX PTQ quantization plan from modelanalysis.json and user intent. | amd/ | 182 | — | ~4.8k | Automated safety check: Pass | MIT | 13 days ago |
| 54 | Validate Quark ONNX quantization output using four lightweight checks: auxiliary file copy alignment, expected non-quantized initializer MD5 byte-identity (inline rawdata + external-data byte… | amd/ | 182 | — | ~2.5k | Automated safety check: Pass | MIT | 13 days ago |
| 55 | Route Quark ONNX user goals to the correct atomic skill. An agent skill from amd/Quark. | amd/ | 182 | — | ~2.7k | Automated safety check: Pass | MIT | 13 days ago |
| 56 | Apply existing ShapeShifter graph passes to an .onnx model via the quark-cli shapeshifter CLI or a ShapeShifter YAML. | amd/ | 182 | — | ~1.9k | Automated safety check: Pass | MIT | 13 days ago |
| 57 | Detect upstream Quark ONNX changes that affect the ONNX skill family and classify required updates. | amd/ | 182 | — | ~3.3k | Automated safety check: Pass | MIT | 13 days ago |
| 58 | Partition an ONNX model graph into named functional subgraphs and emit a subgraphpartition.json file. | amd/ | 182 | — | ~2.7k | Automated safety check: Pass | MIT | 13 days ago |
| 59 | Prepare export and downstream evaluation handoff for a planned or completed Quark PTQ run. | amd/ | 182 | — | ~1.5k | Automated safety check: Pass | MIT | 13 days ago |
| 60 | L3 recipe that runs a Torch LLM PTQ end-to-end for AMD Quark — for PyTorch / HuggingFace transformers models (safetensors input): quantize → validate → evaluate. | amd/ | 182 | — | ~2.6k | Automated safety check: Pass | MIT | 13 days ago |
| 61 | Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). | matlab/ | 1.1k | — | ~4.6k | Automated safety check: Pass | Unknown | 2 days ago |
| 62 | Installs or verifies AMD Quark and ensures the selected Python environment has an accelerator-matched PyTorch. | amd/ | 182 | — | ~3.5k | Automated safety check: Notes | MIT | 13 days ago |
| 63 | Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request… | amd/ | 182 | — | ~2.3k | Automated safety check: Pass | MIT | 13 days ago |
| 64 | How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2dcv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT… | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 65 | 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 |
| 66 | Computer vision engineering for object detection, segmentation, and visual AI, covering CNN and Vision Transformer architectures and ONNX/TensorRT deployment. | borghei/ | 891 | — | ~1.8k | Automated safety check: Pass | MIT | 4 days ago |
| 67 | 优化实际模型推理链路,将正确性对齐、分段 profiling、显存与数据搬运、TensorRT/ONNX/PyTorch 后端、attention/kernel、FP8/compile、缓存与少步采样、质量回归、GPU 成本和服务验收串成同一实验闭环。当用户要求推理提速、降低显存或 GPU 成本、复现模型效果、定位 GPU 利用率低、优化图像/视频/扩散模型或自托管 LLM 时使用,提供… | majiayu000/ | 287 | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 68 | A skill your agent uses when selecting Sentence Transformers inference backends or exporting/optimizing models for PyTorch, ONNX, or OpenVINO. | VectorSpaceLab/ | 331 | — | ~766 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 69 | Build ONNX export and validation commands, package/load timm models via Hugging Face Hub or local directories, use Torch Hub compatibility, and safely clean or average checkpoints. | VectorSpaceLab/ | 331 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 70 | 70.Parakeet Stt Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). | sundial-org/ | 663 | — | ~771 | Automated safety check: Pass | No licence | 7 mo ago |
| 71 | 71.Re AI Model AI 模型文件逆向与静态分析:ONNX/PyTorch/Safetensors/TFLite 格式解析、 网络结构还原、权重提取、文件级水印分析(权重 pattern/metadata/tensor hash/embedding 异常)。 | dslsdzc/ | 135 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 72 | Stand up a complete, ready-to-run computer-vision analytics stack on Intel hardware with one Docker Compose command — point it at your video sources and an OpenVINO/ONNX model to get live annotated… | open-edge-platform/ | 140 | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 73 | Build machine vision inspection systems with MATLAB Visual Inspection Toolbox. | matlab/ | 1.1k | — | ~3.1k | Automated safety check: Pass | Unknown | 2 days ago |
| 74 | Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. | MicrosoftDocs/ | 776 | — | ~1.6k | Automated safety check: Pass | CC-BY-4.0 | 5 days ago |