Keras ORG

Deep Learning for humans

A Python library that makes building neural networks simple, write your model once using Keras, then run it on TensorFlow, PyTorch, or JAX by changing a single environment variable.

AutoML library for deep learning

A Python library that automatically searches for the best machine learning model architecture for your data, you hand it your dataset and it returns a trained model without you needing to tune settings manually.

Keras documentation, hosted live at keras.io

A Hyperparameter Tuning Library for Keras

Reference implementations of popular deep learning models.

Keras community contributions

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

Industry-strength Computer Vision workflows with Keras

Utilities for working with image data, text data, and sequence data.

Pretrained model hub for Keras 3.

Chinese (zh-cn) translation of the Keras documentation.

Multi-backend recommender systems with Keras 3

Governance of the Keras API.

Korean translation of the Keras documentation.

The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.

Japanese translation of the Keras documentation.

Run ML workloads seamlessly on cloud TPUs and GPUs with a single Python decorator. No infrastructure management required.

Documentation autogeneration utilities.

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