DeepXDE v0.11.1

Areas of improvement

• FNN supports arguments use_bias and kernel_constraint, and layer normalization
• Change L-BFGS option gtol from 1e-5 to 1e-8
• Improve saveplot

New APIs

• Add a new Data Constraint
• Add metric mean_squared_error

DeepXDE v0.11.0

We stop the support of Python 2.7 from this release.

Areas of improvement

• Vectorize geometry related methods
• PDE supports resample PDE residual points via callback PDEResidualResampler
• Implement Polygon.boundary_normal()

New APIs

• Add multifidelity DeepONet

API changes

• Geometry-related methods (inside, on_boundary, on_initial, boundary_normal, periodic_point) now use the 2d input of shape N by d, not a 1d vector.

DeepXDE v0.10.0

Areas of improvement

• PDE supports excluded points
• Add PointSetBC for training using exact solution.
• Add Hypersphere.boundary_normal()
• Add Triangle.inside()

API changes

• PDE doesn't support numpy.array X as the third parameter. To define pde with extra coefficients, use PDE(..., auxiliary_var_function=...), see an example at Lorenz_inverse_forced_Colab.ipynb.

DeepXDE v0.9.1

Areas of improvement

• Model.predict() supports PDE with two or three arguments
• PDE supports different loss functions for different errors
• Hypercube.uniform_points() uses the same dx in each dimension

New APIs

• Add metric: nanl2_relative_error, zero
• Add callback: Timer

DeepXDE v0.9.0

New module

• Add new module dde.grad to compute gradients via dde.grad.jacobian() and dde.grad.hessian()

Areas of improvement

• Bug fix: GeometryXTime.periodic_point()

DeepXDE v0.8.6

Areas of improvement

• Model.save() supports pickle
• PDE
  • supports pde as None
  • supports bcs as the empty list []
  • accepts train_distribution = 'uniform' or 'pseudo' or 'sobol'
• OpNN supports user-defined branch net
• OpDataSet supports mini-batch training

API changes

• Rename Model._print_model() to Model.print_model()

New APIs

• Add Model.state_dict()
• Add PDE.resample_train_points()

DeepXDE v0.8.5

Areas of improvement

• Add Triangle.on_boundary and Triangle.boundary_normal
• OpNN supports different activations for branch and trunk nets
• Bug fix: GeometryXTime.uniform_points

DeepXDE v0.8.4

Areas of improvement

• Support numpy inputs to define PDE
• Bug fix: Hypershpere sobol points

New APIs

• Add feed-forward neural networks (PFNN) that support sub-networks
• Add fractional PDE (FPDE and TimeFPDE) with fractional Laplacian

DeepXDE v0.8.3

Areas of improvement

• Bug fix: Cuboid.random_boundary_points()

DeepXDE v0.8.2

Areas of improvement

• OpNN can be partially trained
• DirichletBC supports functions that returns a number
• DataSet does not standardize by default
• Add Swish activation
• Bug fix in loss plot