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interpolation

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Interpolate data with SciPy and JAX easily.

Data & Analytics#jax#data-analysis#interpolation#grid#scipy#numerical-methods#spline
Authoryonesuke
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill provides reliable 1D and 2D data interpolation using SciPy on CPU and differentiable interpolation via JAX/Interpax on GPU, enabling smooth value estimation between samples.

Core Features & Use Cases

  • 1D interpolation using CubicSpline, PchipInterpolator, and linear extrapolation.
  • 2D grid interpolation using RegularGridInterpolator and griddata, plus support for scattered data interpolation.
  • Differentiable workflows via Interpax to enable gradient-based optimization in ML pipelines and simulations.

Quick Start

Run the SciPy/JAX interpolation demos to observe spline, monotonic, and differentiable interpolation on sample data.

Dependency Matrix

Required Modules

jaxjaxlibinterpaxnumpyscipy

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: interpolation
Download link: https://github.com/yonesuke/skills/archive/main.zip#interpolation

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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