AI & LLM Engineering · TensorFlow

Run Python unit test suites strictly using the uv package manager and pytest.

brendanhasz/probflow

Ensure consistent code formatting using the uv package manager and pre-commit.

brendanhasz/probflow

Uses Ray Data to read, transform and write large datasets across a cluster for ML training and batch inference, with streaming execution and optional GPU steps.

Orchestra-Research/AI-Research-SKILLs

Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery.

Orchestra-Research/AI-Research-SKILLs

Explains machine learning predictions with SHAP: picking the right explainer, computing Shapley values and drawing waterfall, beeswarm, bar and force plots.

davila7/claude-code-templates

Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).

matlab/agent-skills-playground

Covers logging and viewing training metrics, histograms, model graphs, embeddings and profiles with TensorBoard in PyTorch and TensorFlow projects.

Orchestra-Research/AI-Research-SKILLs

Expert in PerforatedAI library for adding artificial dendrites to PyTorch neural networks.

PerforatedAI/PerforatedAI

Guide to renting GPUs on Lambda Labs for ML training and inference: on-demand instances, 1-Click Clusters, SSH access, persistent filesystems and alternatives.

Orchestra-Research/AI-Research-SKILLs

Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.

davila7/claude-code-templates

how to use the edit command properly

omegaml/omegaml

Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects.

matlab/matlab-agentic-toolkit

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks.

davila7/claude-code-templates

World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems.

davila7/claude-code-templates

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX…

dotnet/skills

Creates, lists, updates and deletes Volcano Jobs and Queues in KubeSphere, with YAML templates for PyTorch, TensorFlow, MPI and batch jobs plus scheduling troubleshooting.

kubesphere/kubesphere

Build production computer vision pipelines for object detection, tracking, and video analysis.

curiositech/some_claude_skills

Classify and embed images, detect objects, and answer from a passage in a Code node or CodeAct action, with TensorFlow.js running on the host

nodetool-ai/nodetool

Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder.

matlab/matlab-agentic-toolkit

Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).

matlab/matlab-agentic-toolkit

Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use only when the request names…

NVIDIA/skills

Build tensorflow model trainer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

jeremylongshore/tons-of-skills-marketplace

Create tensorflow savedmodel creator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

jeremylongshore/tons-of-skills-marketplace

Configure tensorflow serving setup operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

jeremylongshore/tons-of-skills-marketplace

Build and debug deep learning models with Keras and TensorFlow backend

wentorai/research-plugins

TensorFlow best practices for tf.function, GPU memory, and deployment

wentorai/research-plugins

Train ML models with scikit-learn, PyTorch, TensorFlow. An agent skill from secondsky/claude-skills.

secondsky/claude-skills

Use this DeepCTR repo skill for CTR/recommender feature columns, Keras models, sequence/session models, multitask models, and legacy TensorFlow Estimator workflows.

VectorSpaceLab/AREX-Skill

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/awesome-ascend-skills

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/awesome-ascend-skills

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/awesome-ascend-skills

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/awesome-ascend-skills

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/awesome-ascend-skills

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-skills

UMAP dimensionality reduction for visualization, clustering prep, and feature engineering.

jaechang-hits/SciAgent-Skills

Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration.

Kilo-Org/kilo-marketplace

Best practices for building, training, evaluating, and deploying neural networks with TensorFlow and Keras.

Mindrally/skills

Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment.

MicrosoftDocs/Agent-Skills