kronecker

Implementation of Kronecker inference for Gaussian Processes

Evaluate the Kronecker delta (single-precision).

An general computer algebra library

Evaluate the Kronecker delta.

Frobenius Norm Calculator, a linear algebra utility designed to compute the square root of the sum of absolute squared matrix elements. It provides a seamless user experience to help students, mathematicians, and engineers analyze matrix magnitudes, evaluate numerical stability, and perform linear algebra computations.

A Lean 4 formalization of fundamental theorems in matrix analysis, including the Courant-Fischer min-max theorem, Singular Value Decomposition (SVD), Frobenius norm properties, and the Eckart-Young theorem.

Evaluate the Dirac delta function.

Create an iterator which evaluates the Dirac delta function for each iterated value.

Implementation of Kronecker Delta in Matlab

ARCHIVED - Effect of sparse Dictionary learning on the quality of recovery in Compressive sensing , porting from MATLAB to Python https://github.com/hadizand/DL_CS_ECG

ARCHIVED - Kronecker technique for improving quality of the signal in compressive sensing recovery. Transposing to Python, to the best of my ability, the work from https://github.com/hadizand/Kronecker-based-CS-recovery. (Originally in MATLAB)

Evaluate the Dirac delta function in single-precision floating-point format.

Generative Mixture-of-Experts: Synthesize 360M+ dense parameters on-the-fly from micro recipes (<2MB) in milliseconds

A compact, fully Kronecker-parameterised language model: 190K to 2.08M parameters, strong bits-per-byte on TinyStories, int8/int4 and a Hugging Face wrapper.