waxmorph#
Modules
Numerical constants shared by graph construction and Warp kernels where imported. |
|
Normalize meshes and sample their volumes for rollout point clouds. |
|
Differentiable Warp mechanics and graph diffusion for fixed-size tissue. |
|
PyTorch graph-network re-exports for the default |
|
PyTorch graph re-exports for the default |
|
Explicit JAX/Equinox backend; top-level |
|
PyTorch loss re-exports for the default |
|
PyTorch MLP re-exports for the default |
|
Renderer interfaces for displaying 3D spheroids with morphogens. |
|
Prescribed Warp mechanics, chemistry, growth, and division in model units. |
|
Default PyTorch backend. |
Differentiable morphogenesis and shape assembly with Warp physics.
Top-level learning APIs use waxmorph.torch. Import waxmorph.jax explicitly
for the JAX backend.