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JAX-NSL

Comprehensive JAX implementation of neural networks and scientific computing. Features distributed training, physics-informed networks, custom autodiff, and advanced optimization. Production-ready code with numerical stability, multi-device parallelism, and research-grade implementations.

automatic-differentiation bayesian-methods deep-learning differential-equations distributed-training gpu-computing high-performance-computing jax machine-learning mixed-precision

Creat：2025-09-02T01:08:42

Update：2025-09-03T09:43:28

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