UriaMorP
PhD candidate in applied math, interested in scientific computations, high performance computations. Also working in biological data analysis
UriaMorP's Stars
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
tensorly/tensorly
TensorLy: Tensor Learning in Python.
pymanopt/pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
voutcn/megahit
Ultra-fast and memory-efficient (meta-)genome assembler
NicolasBoumal/manopt
Manopt, a Matlab toolbox for optimization on manifolds
scikit-learn-contrib/skglm
Fast and modular sklearn replacement for generalized linear models
canyilu/Tensor-tensor-product-toolbox
tensor-tensor product toolbox
wesselb/neuralprocesses
A framework for composing Neural Processes in Python
JEFworks/liger
Lightweight Iterative Gene set Enrichment in R
BallisticLA/parla
Python Algorithms for Randomized Linear Algebra
IBM/TM-GCN
Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
elizabethnewman/hessQuik
Computing gradients and Hessians of feed-forward networks with GPU acceleration
IBM/pylspack
A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
elizabethnewman/tensor-fmri
Tensor-based approaches for fMRI classification
pixushi/tempted
OsmanMalik/tr-als-sampled
Code for our ICML 2021 paper titled "A Sampling-Based Method for Tensor Ring Decomposition"
scibiome/meteor
`MeTEor` is an R Shiny application that offers the possibility to explore longitudinal metabolomics data. For this purpose, a variety of statistical analysis and visualization methods are implemented in MeTEor to help the user to get a quick overview of the data.
brendanlu/tred
Dimensionality reduction techniques for order-3 tensors
elizabethnewman/dnn101
A hands-on tutorial of deep neural networks for mathematicians
elizabethnewman/tnn
Matrix-Mimetic Tensor Neural Networks