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Estimating high-order interactions in time series data of any dimension
NMA Computational Neuroscience course
Gaussian processes in TensorFlow
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
A package for the sparse identification of nonlinear dynamical systems from data
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
A Python Package For System Identification Using NARMAX Models
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.