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.
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