osmanmalik Goto Github PK

countsketch-matrix-tensor-id

Matlab code for fast randomized matrix and tensor interpolative decomposition using CountSketch

csci5622-machine-learning

Course Repo for CSCI 5622: Graduate Machine Learning

csci_5622_project

evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

fast_tensor_leverage

Fast Leverage Score Computation for Khatri-Rao Products

kronecker-sketching

We compare different methods for sketching vectors with Kronecker product structure.

lowrankmatrixdecompositioncodes

RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.

osmanmalik.github.io

Repo for my website

quantum-bmf

Binary matrix factorization on D-Wave's quantum annealer.

random-approximate-matrix-multiplication

Matlab and C code for experiments with randomization of approximate bilinear computation for matrix multiplication

sparse-khatri-rao

An efficiently implemented Matlab function for computing the Khatri-Rao product of sparse matrices

sr-pat-waspaa-2021

Code to recreate plots in our WASPAA 2021 paper on superresolution photoacoustic tomography.

td-als-es

Code for my ICML 2022 paper titled "More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees"

tensorly

TensorLy: Tensor Learning in Python.

tm-gcn

Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product

tns

Code for our preprint paper titled "Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks"

tr-als-sampled

Code for our ICML 2021 paper titled "A Sampling-Based Method for Tensor Ring Decomposition"

tt-toolbox

The git repository for the TT-Toolbox

tucker-tensorsketch

Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"