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PyTorch agent skills, page 6

Skills #241–259 of 259, ranked by score.

PyTorch skills, ranked

Ranked by score. Sort bymost stars,trending,newest,recently updated

PyTorch skills, ranked
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241

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/awesome-ascend-skills174—~1.8kAutomated safety check: PassNo licencetoday
242

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/awesome-ascend-skills174—~1.4kAutomated safety check: PassNo licencetoday
243

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/awesome-ascend-skills174—~2kAutomated safety check: PassNo licencetoday
244

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/awesome-ascend-skills174—~1.4kAutomated safety check: PassNo licencetoday
245

MindSpeed-MM multimodal model suite environment setup guide for Huawei Ascend NPU.

ascend-ai-coding/awesome-ascend-skills174—~3.1kAutomated safety check: PassNo licencetoday
246

Directly launch Docker containers on Ascend NPU servers for users.

ascend-ai-coding/awesome-ascend-skills174—~2.4kAutomated safety check: NotesNo licencetoday
247

Implement machine learning solutions including model architectures, training pipelines, optimization strategies, and performance improvements.

aiskillstore/marketplace4301 repo~2.3kAutomated safety check: PassNo licencetoday
248

PyTorch model training skill with custom training loops, gradient management, and GPU optimization.

majiayu000/claude-skill-registry6661 repo~884Automated safety check: NotesMITtoday
249

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/rsc-harness156—~3.4kAutomated safety check: PassMITtoday
250

A skill your agent uses when predicting a column from rows of tabular features with classic models — scikit-learn pipelines, RandomForest, XGBoost/LightGBM, leak-free cross-validation, metrics for…

ericrisco/rsc-harness156—~4.2kAutomated safety check: PassMITtoday
251

Guide for building Graph Neural Networks with PyTorch Geometric (PyG).

BioTender-max/awesome-bio-agent-skills197—~4.3kAutomated safety check: PassUnknown3 mo ago
252

Triton language skill for Python GPU kernel authoring. An agent skill from mohitmishra786/low-level-dev-skills.

mohitmishra786/low-level-dev-skills253—~1.8kAutomated safety check: PassMIT3 mo ago
253

Route text-labeling requests across LDA topic modeling, sklearn baselines, pretrained transformer models, and OpenAI-compatible LLM labeling.

Drchronx/ai-agent-research-starter-kit134—~1.1kAutomated safety check: PassUnknown4 mo ago
254

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/rev-skills117—~2.4kAutomated safety check: PassApache-2.02 days ago
255

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/marketplace430—~748Automated safety check: PassMITtoday
256

A full ML pipeline where an agent team collaborates to perform data preparation, model design, training, evaluation, and deployment readiness.

revfactory/harness-1001.3k—~1.9kAutomated safety check: PassApache-2.06 mo ago
257

Expert AI/ML Engineer with deep MLOps expertise. An agent skill from theneoai/awesome-skills.

theneoai/awesome-skills183—~2.9kAutomated safety check: PassMIT4 mo ago
258

W&B expert: experiment tracking, hyperparameter search, artifact management, sweep, team dashboards, performance visualization.

theneoai/awesome-skills183—~3.4kAutomated safety check: PassMIT4 mo ago
259

Computer vision implementation covering image classification, object detection (YOLO), image segmentation, OCR (Tesseract), face detection, image preprocessing, data augmentation, transfer learning…

FerroxLabs/wayland608—~3.9kAutomated safety check: PassApache-2.0yesterday