Keras Core 0.1.1 release

Highlights

• TensorFlow dependency removed: it is now possible to use Keras Core with JAX or PyTorch without installing TensorFlow.
• Significant performance improvements for Keras optimizers with PyTorch eager execution. Keras optimizers with the PyTorch backend are now at performance parity with native PyTorch optimizers.
• Added the NumPy backend. Note that it does not support training. You can use it to create and call models / layers, write custom evaluation loops, etc.

What's Changed

• bug fix for torch gpu by @haifeng-jin in #438
• Fix typo in README by @abheesht17 in #441
• Use SeedGenerator backend when creating variable by @sampathweb in #439
• Add names to the input tensor, small typo by @Frightera in #449
• Remove unused variables // adam & adamw by @Frightera in #444
• fixed order of parameters in stateless_apply in JAX distributed example by @martin-gorner in #458
• Added JAX distributed training guide. by @hertschuh in #464
• optimize torch performance by @haifeng-jin in #465
• bug fix for seed generator by @haifeng-jin in #471
• Export DTypePolicy as Policy for backward compat by @abheesht17 in #470
• Make it possible to run Keras Core without TensorFlow. by @fchollet in #475
• Weighted metrics without metrics by @mihirparadkar in #474
• Constant Initializer Error fixed by @kamathis4 in #479
• Complete missing docstrings in keras-core/ops/core.py by @Frightera in #494
• Port zero-dce example to keras-core by @soumik12345 in #486
• Updated math.py & nn.py with docstrings. by @Sheiphan in #484
• Add a requirements file for multi-backend cuda by @mattdangerw in #472
• Stop tensorflow from eating all GPU memory by @mattdangerw in #473
• Adding docstrings to Keras Core ops in numpy.py file by @sukhdeepg in #507
• Fix Torch conv transpose by @chenmoneygithub in #520
• Port mirnet example to keras-core by @soumik12345 in #491
• Testing Timeseries anomaly detection Framework agnostic by @anas-rz in #501
• Added docstring ops/image/resize by @Frightera in #509
• Converted to Keras Core: A Vision Transformer without Attention by @anas-rz in #497
• Optimizer torch optimizer performance by @haifeng-jin in #482
• Clean up variable vs weight in base layer by @mattdangerw in #521
• Convert to Keras_Core: Compact Convolutional Transformer by @anas-rz in #523
• Framework agnostic autoencoder for image deniosing by @anas-rz in #524
• Input layer test by @kamathis4 in #511
• Update symbolic_arguments.py by @sqali in #513
• Orthogonal Inititializer test by @kamathis4 in #526
• Convert to Keras Core: Token Learner by @anas-rz in #528
• Add Adam optimizer parallel implementation for torch backend by @haifeng-jin in #531
• Adding: Numpy Backend by @ariG23498 in #483
• Add AdamW implementation with torch parallel ops by @haifeng-jin in #532
• Fix SavedModel integration and add associated tests by @nkovela1 in #522
• Add RMSprop for Torch by @haifeng-jin in #533
• Add Adadelta for torch by @haifeng-jin in #534

New Contributors

• @abheesht17 made their first contribution in #441
• @Frightera made their first contribution in #449
• @fchollet made their first contribution in #475
• @mihirparadkar made their first contribution in #474
• @kamathis4 made their first contribution in #479
• @soumik12345 made their first contribution in #486
• @Sheiphan made their first contribution in #484
• @sukhdeepg made their first contribution in #507
• @anas-rz made their first contribution in #501
• @sqali made their first contribution in #513

Full Changelog: v0.1.0...v0.1.1