elixir-nx/axon

This system is a deep learning library for Elixir, providing a comprehensive framework for defining, training, and evaluating neural network models. It offers a complete API for constructing architectures with various layer types, managing training loops, and handling model serialization. The codebase is heavily supported by extensive documentation, interactive notebooks, and a robust test suite covering core components and edge cases.

This period focused on significantly expanding the Axon API with new layer abstractions, a dedicated training loop infrastructure, and comprehensive documentation. The release introduced core components for model building, mixed-precision training, and various deep learning examples to demonstrate the updated capabilities.

8 changes

This period focused on expanding the Axon library's educational resources, adding comprehensive documentation guides for model creation, execution, and serialization. The team also enriched the codebase with diverse example notebooks covering vision, text, time-series, and generative AI applications, while simultaneously increasing test coverage for core components.

12 changes

elixir-nx/axon was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.