interpolation
Techniques for 1D and 2D data interpolation using SciPy (CPU) and JAX/Interpax (GPU/Differentiable).
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Techniques for 1D and 2D data interpolation using SciPy (CPU) and JAX/Interpax (GPU/Differentiable).
Essential tools for using JAX in machine learning and mathematical analysis, covering core concepts, transformations, ML specifics, control flow, and parallelism.
A comprehensive guide for developing, training, and managing neural networks using Flax NNX. Use when defining models, managing state, or writing training loops.
Solves linear systems (Ax=b) using NumPy, JAX, PyTorch, and Lineax. Covers dense, sparse, and specialized (tridiagonal) solvers.
A skill for defining and training Multi-Layer Perceptrons (MLPs) using Flax NNX.
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High-performance DataFrame library usage. Covers Lazy API, Wrangling, Aggregation.
ONLY trigger this skill when the user EXPLICITLY asks for MCP-based testing: **Required triggers (ALL must mention "MCP" explicitly):** - "test connector with mcp" - "test mcp connector" - "test [provider] wit...
Expert knowledge for digital logic gates including AND, OR, NOT, NAND, NOR, XOR, and XNOR gates. Use when designing digital circuits, implementing Boolean logic, creating truth tables, working with logic gate s...
Implement comprehensive validation on both server and client sides with specific error messages, input sanitization, and consistent validation across all entry points. Use this skill when validating user input,...
Follow project-wide development conventions including consistent project structure, clear documentation, version control best practices, environment configuration, and dependency management. Use this skill when...
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Reference and maintain the project's technical stack including frameworks, languages, databases, testing tools, and third-party services to ensure consistency across the project. Use this skill when making tech...
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。