Documentation of my Python packages, with tutorials and live demos.

dynamodels

Dynamical-system models with history tracking and pluggable integrators.

The Lorenz 63 attractor

ntsa

Nonlinear time-series analysis: Lyapunov exponents, delay embedding and regime classification.

Delay portrait of the Lorenz 63 attractor

echostatenetwork

Echo state networks in pure numpy, with Jacobians for data assimilation.

The reservoir of an echo state network: neurons connected by recurrent weights

romda

Real-time reduced-order modelling and bias-aware data assimilation.

Data-assimilation cycle as uncertainty tubes: forecast, observation and analysis covariances drawn as ovals

qlroms

Quantized-local reduced-order models with intrusive Galerkin projection.

A forecast moving from chart to chart across the state space