Showing 5 of 5 projects
A TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.
A universal model exchange and serialization format for decision tree forests, enabling cross-platform deployment.
A Rust crate providing efficient implementations of common machine learning algorithms with support for dense and sparse data.
Serialize JAX, Flax, Haiku, and Objax model parameters using the safetensors format for safer, pickle-free storage.
A lightweight Swift framework for converting JSON to immutable models with flexible mapping and type conversion.
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