A library for scientific machine learning and physics-informed learning
This release is used to test the automated release workflow.
A lot of implementations for backend paddle! Feel free to use backend paddle.🎉🎉🎉
dde.nn.FNN
supports defining activation functions for each layerdde.geometry.PointCloud
supports boundary points and normalsdde.nn.DeepONet
Backend JAX supports PDE inverse problems.🎉🎉🎉
dde.data.PDEOperatorCartesianProd
dde.nn.PFNN
Model.train
: epochs
is replaced by iterations
PIDeepONet
into DeepONet