kauldron 1.2.1

Kauldron is a ML research library optimized for quick iteration and modularity.

kauldron

Kauldron is a library for training machine learning models, optimized for research velocity and modularity.

Modularity:

• All parts of Kauldron are self-contained, so can be used independently outside Kauldron.
• Use any dataset (TFDS, Grain, SeqIO, your custom pipeline), any (flax) model, any optimizer,... Kauldron provides the glue that link everything together.
• Everything can be customized and overwritten (e.g. sweep over models architecture, overwrite any inner layer parameter,...)

Research velocity:

• Everything should work out-of the box. The example configs can be used and customized as a starting point.
• Colab-first workflow for easy prototyping and fast iteration
• Polished user experience (integrated XM plots, profiler, post-mortem debugging on borg, runtime shape checking, and many others...). Open an issue..

This is not an officially supported Google product.