keras

Depuis le README

pip install keras --upgrade

• Write custom components (e.g. layers, models, metrics) that you can use in low-level workflows in any framework.
• You can take a Keras model and train it in a training loop written from scratch in native TF, JAX, or PyTorch.
• You can take a Keras model and use it as part of a PyTorch-native Module or as part of a JAX-native model function.
• Make your ML code future-proof by avoiding framework lock-in.
• As a PyTorch user: get access to power and usability of Keras, at last!
• As a JAX user: get access to a fully-featured, battle-tested, well-documented modeling and training library.

Extraits du README du projet sur GitHub. Le droit d'auteur et les licences restent la propriété des auteurs respectifs.