v0.1.3 — Zero-friction API: kanx.quickstart(), one-line fit()

New users can now go from pip install to a trained model in one function call.

What's new

• kanx.quickstart() — builds, trains, and returns a working KAN in a
  single call. The first thing to type after pip install kanx.

• model.fit(X, y) on TensorFlow KAN — auto-compiles with Adam + MSE if
  you haven't called model.compile(). No boilerplate.

• model.fit(X, y) on PyTorch KAN — same one-line semantics as the TF
  backend, wrapping Trainer.fit() internally.

• Comparison table vs other KAN libraries in README — pykan, efficient-kan,
  mlx-kan side by side.

• CONTRIBUTING.md with high-leverage tasks and good first issues.

• GitHub Pages auto-deploy — docs rebuild on every push to main, not just
  on tag.

• BibTeX citations for both kanx and the original Liu et al. (2024) paper.

Fixed

• PyPI "Documentation" link now points to the live MkDocs site at
  https://mattral.github.io/KANX/

Full changelog: https://github.com/Mattral/KANX/blob/main/CHANGELOG.md