Flax
Flax is an open-source neural network library built on JAX that provides modular neural network abstractions while preserving JAX's functional programming style. It uses explicit parameter passing to enable transparent multi-device parameter sharding control.
Timeline (last 90 days)
DantinoX is an open-source JAX/Flax-based library that serves three generative paradigms—autoregressive decoding, discrete masked diffusion, and continuous flow matching—with a single modular Transformer backbone.
Flax is a neural network library built on JAX that provides modular abstractions similar to PyTorch Modules, with model parameters passed in as explicit state rather than implicitly bound to objects.
Transformer Engine provides interfaces integrated with JAX/Flax within the JAX ecosystem.
All Facts (3)
DantinoX is an open-source JAX/Flax-based library that serves three generative paradigms—autoregressive decoding, discrete masked diffusion, and continuous flow matching—with a single modular Transformer backbone.
50%UnverifiedFlax is a neural network library built on JAX that provides modular abstractions similar to PyTorch Modules, with model parameters passed in as explicit state rather than implicitly bound to objects.
50%UnverifiedTransformer Engine provides interfaces integrated with JAX/Flax within the JAX ecosystem.
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