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.
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.
Evaluate the Kronecker delta.
Evaluate the Kronecker delta (single-precision).
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
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)
Implementation of Kronecker inference for Gaussian Processes
An general computer algebra library
Implementation of Kronecker Delta in Matlab
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