Deepxde

Areas of improvement

- Backend paddle: Support `dde.nn.MfNN`
- Backend paddle: Support prim to accelerate running

Thanks to all the contributors to this release!

lijialin03 KangyuWeng kuangdai bonneted

This is a bugfix release, fixing the bug of `dde.data.PDEOperatorCartesianProd` introduced in v1.13.0.

We also support Python 3.12 and require PyTorch>=2.0.0.

Thanks to all the contributors to this release!

lululxvi Jerry-Jzy

Areas of improvement

- Refactor and improve regularizers for backends TensorFlow 1.x/2.x and paddle
- Improve compatibility with NumPy 2
- `dde.model.train` and `dde.model.compile` support verbose
- Backend PyTorch: Fix L2 regularizers for `external_trainable_variables`
- Backend paddle: `FNN` supports regularization and dropout

New APIs

- Backend PyTorch: Add a new optimizer NNCG

Thanks to all the contributors to this release!

lululxvi vl-dud KangyuWeng pratikrathore8 lijialin03 Jerry-Jzy

Areas of improvement

- Improve compatibility with NumPy 2
- Bug fix: `dde.data.QuadrupleCartesianProd`
- Backend TensorFlow 1.x: Improve DeepONet
- Backend PyTorch: FNN supports regularization

Thanks to all the contributors to this release!

anranjiao cwoolfo1 vl-dud enigne lululxvi

Areas of improvement

- Add `clear()` for forward-mode autodiff to prevent memory leak
- Tensorflow 1.x backend: `DeepONet` supports layer-by-layer dropout rate setting
- Bug fix: `SingleOutputStrategy` has unnecessary error checking

New APIs

- `dde.geometry.Hypercube` supports `uniform_boundary_points`

Thanks to all the contributors to this release!

vl-dud Yiii9 MinZhu123 lululxvi HydrogenSulfate

Areas of improvement

- `EarlyStopping` callback supports a new argument `start_from_epoch`
- Backend TensorFlow v1/v2: Fix many codes to match the new TensorFlow APIs and Keras 3
- Backend Tensorflow v1: `DeepONet` and `DeepONetCartesianProd` support dropout
- Backend PyTorch: Fix the L-BFGS code to support PyTorch 2.x
- Backend Paddle: Fix the L-BFGS code
- Backend Paddle: `DeepONetCartesianProd` supports multiple outputs
- Backend JAX: Support callback `VariableValue`
- Documentation improvements

New APIs

- `dde.data.PDEOperator` supports `resample_train_points`

Thanks to all the contributors to this release!

bonneted vnikoofard vl-dud tjboise HydrogenSulfate agniv-the-marker lululxvi lijialin03 DecoderLiu anranjiao