SatvikPraveen/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.
26
/ 100
Experimental
No Package
No Dependents
Maintenance
10 / 25
Adoption
1 / 25
Maturity
15 / 25
Community
0 / 25
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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