SciML/DiffEqFlux.jl

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

GitHub repository with 919 stars and 161 forks.

Language: Julia

Topics: neural-ode, neural-sde, neural-pde, neural-dde, neural-differential-equations, stiff-ode, ordinary-differential-equations, stochastic-differential-equations, delay-differential-equations, partial-differential-equations

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Trending score 0.51, freshness score 1.00, stars gained +1, forks gained +1.

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2026-06-15: 919 stars and 161 forks.

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