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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
MITSep 13, 2026 · metrics 2.10.0
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#neural-differential-equations
Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.
3 records
PyPI
patrick-kidger/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Apache-2.0Sep 14, 2026 · metrics 2.10.0
PyPI
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Apache-2.0Sep 17, 2026 · metrics 2.10.0