discovered 03 Aug 2026
flax
→ View on GitHubFlax is a flexible, high-performance neural network library designed for use with the JAX framework, enabling researchers to create, inspect, debug, and analyze neural networks with ease. The recent Flax NNX API introduces Python reference semantics for better model expression and mutability, helping to foster innovation in neural network training methodologies. Key features include a comprehensive neural network API that supports various layers and operations, underscoring its ability to adapt to diverse research needs.