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stiff-ode

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SciML / DiffEqFlux.jl

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Star 870

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

neural-networks partial-differential-equations differential-equations ordinary-differential-equations differentialequations stochastic-differential-equations delay-differential-equations pinn neural-ode scientific-machine-learning neural-sde neural-pde neural-dde neural-differential-equations stiff-ode scientific-ml scientific-ai neural-jump-diffusions neural-sdes physics-informed-learning
  • Updated Nov 9, 2024
  • Julia

samholt / NeuralLaplace

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Star 72

Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

deep-neural-networks deep-learning neural-network ide pytorch ode dde dynamical-systems differential-equations laplace-transform delay-differential-equations riemann-sphere ilt stereographic-projection neural-differential-equations stiff-ode integro-differential-equations inverse-laplace-transform forced-ode
  • Updated Nov 2, 2024
  • Python

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