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Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
delete slack messages and files. An improved version is at:
Python library for ODE integration via Taylor's method and LLVM
On-the-fly conversions between Jax and NumPy tensors
patrick-kidger / torchdiffeq
Forked from rtqichen/torchdiffeqDifferentiable ODE solvers with full GPU support and O(1)-memory backpropagation.