TensorKitchen.jl Documentation
TensorKitchen.jl is a Julia package for tensor decompositions.
- CPD documentation
- Tucker documentation
- BTD documentation
- Join decomposition documentation
- Utilities
- Pipeline
- References
Notes
The package is currently at a pre-alpha stage.
The implementation is based on combining algebraic algorithms like ALS (see, e.g., the textbook by Kolda and Ballard) and Riemannian optimization from Manopt.jl.
What currently works is
- Canonical Polyadic Decomposition (CPD)
- Tucker Decomposition
- Nonnegative Canonical Polyadic Decomposition (NNCPD)
- Block Term Decomposition (BTD)
- Join Decompositions
The next updates will include
- Handling of swamps/plateaus in the optimization step
- Documentation
- Improved User Interface
- GPU Support
- LL1 Decomposition (3-way specialized BTD)
- Symmetric CP / Waring Decomposition
- Partially Symmetric CP
- Tensor Trains