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Author:
Yan Barros
Summary:
PINNeAPPle: Physics-Informed Neural Networks platform — PDE problem design, PINN/operator/GNN models, UQ, digital twins, meta-learning, active learning, validation, and REST serving.
Latest version:
0.4.0
Required dependencies:
matplotlib
|
numpy
|
pandas
|
pydantic
|
pyyaml
|
scipy
|
torch
|
tqdm
|
typing-extensions
|
xarray
|
zarr
Optional dependencies:
build
|
cadquery
|
earthaccess
|
fast-simplification
|
fastapi
|
fenics-dolfinx
|
gmsh
|
ipykernel
|
jupyter
|
meshio
|
mpi4py
|
mypy
|
numba
|
onnx
|
onnxruntime
|
open3d
|
paho-mqtt
|
pdfminer-six
|
petsc4py
|
pmdarima
|
pytest
|
pytest-cov
|
requests
|
ruff
|
scipy
|
statsmodels
|
sympy
|
trimesh
|
twine
|
uvicorn
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