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Deep learning framework for model reduction of dynamical systems
Uniform Manifold Approximation and Projection
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
Extensible, parallel implementations of t-SNE
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
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)
Code accompanying my blog post: So, what is a physics-informed neural network?