kotlingrad

Type-safe automatic differentiation framework enabling users to express differentiable programs with higher-dimensional data structures and operators. Ensures compile-time algebraic validity, reducing runtime errors and supporting advanced features like shape-safe tensor operations, symbolic derivatives, and property-based testing for numerical gradient checking.

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• Packages

Package	Supported platforms & targets
ai.hypergraph:kotlingrad:0.4.7	Common, JVM / (1 target)	Details

Supported targets

ai.hypergraph:kotlingrad:0.4.7

JVM

1.8

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