keras-team/keras

Project overview

Keras 3 is a high-level deep learning framework that lets you build, train, and run models across JAX, TensorFlow, PyTorch, and OpenVINO. It is designed for developers and researchers who need to accelerate model development and scale training from laptops to datacenter clusters without framework lock-in.

Project type

Model Development · Model Runtime

Deployment

Refer to project documentation

License

Apache-2.0

Best for

• Developers, AI engineers, and researchers who need to build and train models across multiple backend frameworks while avoiding lock-in.
• Users who need to write framework-agnostic custom components for low-level workflows in JAX, TensorFlow, or PyTorch.

Key capabilities

• Enables building, training, and running models interchangeably across JAX, TensorFlow, PyTorch, and OpenVINO backends.
• Provides a high-level UX and easy-to-debug runtimes to ship deep learning solutions faster.
• Scales model training from a laptop to large clusters of GPUs or TPUs.
• Allows writing custom components such as layers, models, and metrics that can be used in low-level workflows in any supported framework.

Limitations and risks

• Windows users must use WSL2 to run Keras natively.
• The OpenVINO backend is inference-only and does not support training.
• The backend must be configured before importing keras and cannot be changed after the package has been imported.
• Users must maintain a clean Python environment for each backend to avoid CUDA version mismatches.

Getting started

• Install the framework using a standard Python package manager with pip install keras --upgrade. The process requires a clean Python environment and the installation of at least one backend package such as tensorflow, jax, or torch.

Evidence and sources

• README: Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, PyTorch, and OpenVINO (for inference-only). Effortlessly build and train models for computer…
• Release: v3.15.0
• README: pip install keras --upgrade
• README: To use `keras`, you should also install the backend of choice: `tensorflow`, `jax`, or `torch`. Additionally, The `openvino` backend is available with support for model inference…
• README: Keras 3 is compatible with Linux and macOS systems. For Windows users, we recommend using WSL2 to run Keras. To install a local development version:

Reviewed at: 2026-07-17T05:50:57Z