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Data & Analytics · TensorFlow · For data scientists

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1

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-SKILLs13k3 repos~1.8kAutomated safety check: PassMIT3 mo ago
2

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

davila7/claude-code-templates33k11 repos~4.6kAutomated safety check: PassMITtoday
3

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

Orchestra-Research/AI-Research-SKILLs13k3 repos~3.8kAutomated safety check: PassMIT3 mo ago
4

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/skills5.6k1 repo~2.1kAutomated safety check: PassMITyesterday
5

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

secondsky/claude-skills227—~1.7kAutomated safety check: PassMIT13 days ago
6

Create efficient data pipelines with tf.data. An agent skill from TheBushidoCollective/han.

TheBushidoCollective/han1981 repo~4.4kAutomated safety check: NotesUnknown1 mo ago
7

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

jaechang-hits/SciAgent-Skills374—~4.7kAutomated safety check: PassBSD-3-Clause12 days ago