Python implementation of randomized SVD
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Tools for working with Vandermonde matrices, e.g., Björck-Pereyra.
transform an ill-conditioned quadratic matrix to a positive semidefinite matrix
A Python implementation of multivariate t-distributed random variables.
Matrix multiplication program written in Python, with asymptotic visualization in R
Multivariate imputation and matrix completion algorithms implemented in Python
Stochastic singular value decomposition for big matrices on Sparks
Weighted least squares meshless interpolator and differentiator.
This is a sample implementation of "Billion-scale Network Embedding with Iterative Random Project...
Code for random Fourier features based on Rahimi and Recht's 2007 paper.
Random feature latent variable models in Python
Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC D...
Efficient numerical computation of the Pfaffian for dense and banded skew-symmetric matrices
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Te...