Anomalous Diffusion Python Packages

kernel-dynamics-viewer

Regime diagnostics for spatiotemporal kernels K(r,t), 1D-4D: transport × coherence classification, isotropic S(k,ω) via Hankel/spherical-Bessel, plus stateflow — a domain-agnostic trajectory layer. NumPy/SciPy only. pip install kernel-dynamics-viewer

spivae

Stochastic processes insights from VAE. Code for the paper: Learning minimal representations of stochastic processes with variational autoencoders.