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identifiability

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A Python library for automated PK/PD ODE model identification from concentration–time data. Selects the compartmental structure, estimates parameters, and flags identifiability problems; no model specification or starting values required.

  • Updated Aug 21, 2026
  • Python

End-to-End PyTorch implementation of Chang & Kim's (2026) iVDFM pipeline, Includes: amortized encoder, RegimeNet simplex embeddings, Laplace PriorNet, diagonal AR(p) companion-form dynamics, and injective MLP decoder. Trained via ELBO with reparameterized Laplace innovations. Benchmarked against iTransformer and TimeMixer baselines.

  • Updated Apr 25, 2026
  • Jupyter Notebook

Inverting the antibody affinity-maturation selection operator f = sigma . phi . a: design archive of two orthogonal lines, phi simulation-based inference + sigma analytic inversion, with a three-line progress presentation

  • Updated Jun 26, 2026
  • Jupyter Notebook

Research code for the manuscript on structural and practical identifiability of perception and memory in nonlocal advection-diffusion models of animal movement: pseudo-spectral and finite-volume solvers, profile likelihood and Bayesian inference, and an application to archived wolf GPS data.

  • Updated Sep 17, 2026
  • Python

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