CommonJVM

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.

Kodee spinning
Package Supported platforms & targets
ai.hypergraph:kotlingrad:0.4.7 Common, JVM / (1 target) Details
Metadata
Latest release 2 years ago

0.4.7

  • 518 stars
  • Created 5 years ago
  • 13 open issues
  • Latest activity: 28 days ago
License
  • Apache License 2.0

Updated 11 hours ago