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JAX-NSL

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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-differentiationbayesian-methodsdeep-learningdifferential-equationsdistributed-traininggpu-computinghigh-performance-computingjaxmachine-learningmixed-precision
Creat：2025-09-02T01:08:42
Update：2025-09-03T09:43:28
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