won-parafac
PARAFAC solver
An implementation of weighted orthogonal non-negative parallel factor analysis (PARAFAC) in MATLAB for bioinformatics and genomics applications.
Weighted orthogonal non-negative (WON) parallel factor analsyis (PARAFAC)
1 stars
4 watching
2 forks
Language: MATLAB
last commit: almost 4 years ago
Linked from 1 awesome list
bioinformaticsgenomicsmatlabparafacunsupervised-learning
mikelove/awesome-multi-omicsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kimjingu/nonnegfac-matlab | Provides a collection of algorithms for nonnegative matrix and tensor factorizations. | 57 |
 google-deepmind/kfac-jax | Library providing an implementation of the K-FAC optimizer and curvature estimator for second-order optimization in neural networks. | 252 |
 p00f/cphelper.nvim | Automates tasks in competitive programming to streamline development and testing processes. | 136 |
 fdevinc/ungar | A C++ project that simplifies optimal control using metaprogramming | 98 |
 yinboc/liif | This project presents an approach to learning continuous image representation using a local implicit function. | 1,285 |
 cvxr/tfocs | A toolbox for building efficient first-order solvers for convex optimization problems | 136 |
 ccshao/nimfa | A Python library for nonnegative matrix factorization techniques | 10 |
 cdslaborg/paramonte | A parallel Monte Carlo and machine learning library for multiple programming languages. | 275 |
 baidu-research/ncrf | Detects cancer metastasis in whole slide images using deep learning and conditional random fields | 757 |
 benedekrozemberczki/fscnmf | A software implementation of a matrix factorization technique to fuse graph structure and content into node embeddings. | 20 |
 cheshire/onumerical | A numerical library for OCaml providing tools for linear expressions and optimization | 8 |
 ohtsukalab/autogenu-jupyter | An automatic code generator and solver for nonlinear model predictive control (NMPC) problems. | 156 |
 hybridrobotics/nmpc-dclf-dcbf | An implementation of nonlinear model predictive control using discrete-time control Lyapunov functions and control barrier functions for safety-critical systems. | 235 |
 lanl/nchoosek | A programming framework for expressing constraints across classical and quantum computing architectures | 5 |
 chudur-budur/nsga2-matlab | A fast implementation of a multi-objective optimization algorithm | 98 |