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AI & LLM Engineering · PyTorch
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM… | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 194 | PyTorch-native Graph Neural Network framework for molecules and proteins. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 195 | Shallow, text-only triage of a GitHub issue on pytorch or torch-xpu-ops. | intel/ | 115 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 196 | 196.Flash Attention Optimize transformer attention with Flash Attention — 2-4x speedup, 10-20x memory reduction for long sequences on CUDA GPUs. | AlexAI-MCP/ | 135 | — | ~1.2k | Automated safety check: Pass | MIT | 6 mo ago |
| 197 | Build pytorch model trainer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~570 | Automated safety check: Pass | MIT | yesterday |
| 198 | Run distributed GPU training jobs on CoreWeave with multi-node PyTorch. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 199 | Build a ChatGPT-like LLM from scratch using PyTorch step by step | wentorai/ | 298 | 1 repo | ~1.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 200 | 200.Pytorch Guide Avoid common PyTorch mistakes and apply robust training patterns | wentorai/ | 298 | 1 repo | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 201 | PyTorch Lightning framework for scalable model training and research | wentorai/ | 298 | 1 repo | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 202 | 202.Discover ML Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. | rand/ | 181 | — | ~574 | Automated safety check: Pass | MIT | 7 mo ago |
| 203 | Train ML models with scikit-learn, PyTorch, TensorFlow. An agent skill from secondsky/claude-skills. | secondsky/ | 227 | — | ~1.7k | Automated safety check: Pass | MIT | 13 days ago |
| 204 | 204.GPU Optimizer 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 | 5 days ago |
| 205 | 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 |
| 206 | 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/ | 331 | — | ~1.3k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 207 | 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/ | 331 | — | ~760 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 208 | 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/ | 331 | — | ~1.2k | Automated safety check: Pass | GPL-3.0 | 1 mo ago |
| 209 | 209.Model API A skill your agent uses when working with RobustVideoMatting MattingNetwork APIs, recurrent states, model variants, refiners, tensor shapes, and safe synthetic forward checks. | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | GPL-3.0 | 1 mo ago |
| 210 | Use torchsummary.summary and torchsummary.summarystring to inspect PyTorch nn.Module shapes, parameter counts, devices, dtypes, and memory estimates. | VectorSpaceLab/ | 331 | — | ~847 | Automated safety check: Pass | MIT | 1 mo ago |
| 211 | Use torchvision.ops for boxes, NMS, ROI pooling/alignment, detection helper concepts, and extension-dependent troubleshooting. | VectorSpaceLab/ | 331 | — | ~698 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 212 | 212.Self Supervised 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/ | 331 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 213 | 213.Torch Points3d Use Torch Points3D for point-cloud deep learning APIs, datasets/transforms, Hydra training/evaluation, checkpoints, sparse backend decisions, and registration workflows. | VectorSpaceLab/ | 331 | — | ~1.1k | Automated safety check: Pass | Unknown | 1 mo ago |
| 214 | 214.Torch Tensorrt 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/ | 331 | — | ~1.5k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 215 | 215.Torchmetrics Use TorchMetrics to choose, inspect, and combine metric families for PyTorch evaluation, including core API, domain metrics, model-based metrics, and wrappers. | VectorSpaceLab/ | 331 | — | ~964 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 216 | 216.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/ | 331 | — | ~1.1k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 217 | Use Towhee's optional PyTorch Trainer, TrainingConfig YAML, NNOperator training bridge, and towhee.models package boundaries safely. | VectorSpaceLab/ | 331 | — | ~676 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 218 | A skill your agent uses when planning or auditing TorchVision reference training/evaluation workflows for classification, quantization, detection, segmentation, video classification, optical flow… | VectorSpaceLab/ | 331 | — | ~684 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 219 | 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 |
| 220 | 220.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 |
| 221 | Ankh 蛋白质语言模型昇腾 NPU 迁移 Skill,适用于 Ankh base/large、Ankh3 large/XL 以及同类基于 HuggingFace Transformers 与 PyTorch 的蛋白模型从 CUDA/GPU 到华为 Ascend NPU 的环境检查、代码适配、权重加载、验证脚本补齐与文档沉淀。 | ascend-ai-coding/ | 174 | — | ~2.1k | Automated safety check: Pass | No licence | yesterday |
| 222 | 昇腾 TensorFlow Community 迁移适配 Skill,适用于将基于 TensorFlow 2.x 的模型原生部署到华为 Ascend NPU,而不经过 TF 到 PyTorch 转换,覆盖 aarch64 源码编译 TF 2.6.5、tfplugin 安装、自动迁移工具使用、手动适配与精度验证。 | ascend-ai-coding/ | 174 | — | ~2.1k | Automated safety check: Pass | No licence | yesterday |
| 223 | DeepFRI 的 TensorFlow 到 PyTorch 转换与昇腾 NPU 迁移 Skill,适用于蛋白质功能预测场景下的 TF 模型分析、PyTorch 重写、权重逐层映射、NPU 推理与精度验证,尤其适合需要在 Ascend 上运行 DeepFRI CNN 或 GCN 路径时使用。 | ascend-ai-coding/ | 174 | — | ~2.4k | Automated safety check: Pass | No licence | yesterday |
| 224 | DeepFRI TensorFlow 原生昇腾 NPU 迁移 Skill,适用于不做 TF 到 PyTorch 转换、而是直接使用 TensorFlow 2.6.5 与 npudevice 在华为 Ascend 上运行 DeepFRI 的场景,覆盖源码编译、tfplugin 安装、代码适配、推理与 CPU 对比验证。 | ascend-ai-coding/ | 174 | — | ~2.1k | Automated safety check: Pass | No licence | yesterday |
| 225 | OligoFormer 昇腾 NPU 迁移 Skill,适用于将基于 PyTorch Transformer 的 siRNA 效能预测模型迁移到华为 Ascend NPU,覆盖环境搭建、RNA-FM 依赖安装、代码适配、推理验证与可选训练流程。 | ascend-ai-coding/ | 174 | — | ~1.3k | Automated safety check: Pass | No licence | yesterday |
| 226 | ProteinBERT 昇腾 NPU 部署与迁移 Skill,适用于将 TensorFlow 或 Keras 版 ProteinBERT 转成基于 PyTorch 与 torchnpu 的实现,覆盖权重转换、embedding 提取、微调训练、注意力可视化和 GPU 与 NPU 精度验证。 | ascend-ai-coding/ | 174 | — | ~1.9k | Automated safety check: Pass | No licence | yesterday |
| 227 | TensorFlow 或 Keras 模型改写到 PyTorch 的通用 Skill,适用于在华为 Ascend NPU 或其他依赖 PyTorch 生态的平台上完成层级映射、权重转换、逐层数值验证和端到端精度对比,尤其适合 ProteinBERT、DeepFRI 这类科学模型的跨框架迁移。 | ascend-ai-coding/ | 174 | — | ~3.4k | Automated safety check: Pass | No licence | yesterday |
| 228 | HuggingFace Diffusers 环境配置指南,用于华为昇腾 NPU。覆盖 CANN 版本检测、PyTorch + torchnpu 安装、Diffusers 库安装及环境验证。当用户需要在昇腾 NPU 上配置 Diffusers 环境时使用。 | ascend-ai-coding/ | 174 | — | ~566 | Automated safety check: Pass | No licence | yesterday |
| 229 | 基于 PyTorch 框架的昇腾 NPU 模型推理融合算子优化技能。分析模型代码,识别可替换为 torchnpu 融合算子的计算模式,生成替换方案。触发场景:torchnpu 融合算子替换、MoE/Attention/FFN/Norm 等模块的推理算子适配、torchnpu API 使用咨询。基于仓库已有模型的融合算子经验,按计算语义推荐最佳方案。 | ascend-ai-coding/ | 174 | — | ~1.7k | Automated safety check: Pass | No licence | yesterday |
| 230 | 基于 PyTorch 框架的昇腾 NPU 模型推理适配与部署基线技能。从 HF 链接或本地模型代码出发,按 cann-recipes-infer 仓库规范适配到 ModelRunner 推理框架,输出可运行的标准模型目录和性能基线数据。触发场景:新模型适配到昇腾 NPU 推理框架、已有模型的部署基线采集、模型迁移和初始跑通验证。 | ascend-ai-coding/ | 174 | — | ~1.8k | Automated safety check: Pass | No licence | yesterday |
| 231 | 从用户 PyTorch/Python 代码中提取算子实现,构建为算子任务格式的标准化 任务文件。支持两种模式:单 case(单一自包含 .py,getinputs 返回单组)和 多 case(.py + 同名 .json 配对,getinputgroups 返回多组)。 | ascend-ai-coding/ | 174 | — | ~1.4k | Automated safety check: Pass | No licence | yesterday |
| 232 | 根据设计文档生成 AscendC 算子完整代码实现并完成框架适配。TRIGGER when: 设计文档已完成,需要生成 ophost/opkernel 代码、注册到 PyTorch 框架、编译测试。关键词:代码生成、ophost、opkernel、tiling、kernel、框架适配、算子注册。 | ascend-ai-coding/ | 174 | — | ~2k | Automated safety check: Pass | No licence | yesterday |
| 233 | 面向 Ascend PyTorch Profiler / msprof DB(如 ascendpytorchprofiler.db、msprof.db)的 SQL 分析技能。将自然语言问题(算子耗时、通信、下发、调度、schema/table 查询)转为安全可执行 SQL,并按需从官方文档提取表结构详情。 | ascend-ai-coding/ | 174 | — | ~1.4k | Automated safety check: Pass | No licence | yesterday |
| 234 | MindSpeed-MM multimodal model suite environment setup guide for Huawei Ascend NPU. | ascend-ai-coding/ | 174 | — | ~3.1k | Automated safety check: Pass | No licence | yesterday |
| 235 | 235.Deep Learning A skill your agent uses when training or debugging a neural net in PyTorch — the forward/loss/backward/step loop and its silent bugs, mixed precision (AMP), AdamW/LR schedules, DDP/FSDP/ZeRO… | ericrisco/ | 180 | — | ~3.4k | Automated safety check: Pass | MIT | 2 days ago |
| 236 | 236.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 |
| 237 | 237.Triton Lang Triton language skill for Python GPU kernel authoring. An agent skill from mohitmishra786/low-level-dev-skills. | mohitmishra786/ | 252 | — | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 238 | 238.Torch Geometric Guide for building Graph Neural Networks with PyTorch Geometric (PyG). | BioTender-max/ | 200 | — | ~4.3k | Automated safety check: Pass | Unknown | 3 mo ago |
| 239 | 239.Nx Matting 使用本地 BiRefNet GGUF 模型完成图片或视频抠图、人物抠图、主体分割和背景移除,并输出透明 PNG、MOV 或 WebM。适用于用户提到图片抠图、照片去背景、人像透明图、视频抠图、透明视频、BiRefNet、JPG/PNG/BMP/WebP 图片,或 MP4/MOV/WebM 视频的场景;无需 Python、PyTorch 或 CUDA。 | aiskillstore/ | 433 | — | ~748 | Automated safety check: Pass | MIT | yesterday |