MetaMF
by TempSDU
AI summary
Matrix factorization algorithm
This repository provides an implementation of the Meta Matrix Factorization algorithm for federated rating predictions in distributed data settings.
- stars
- 17
- forks
- 2
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Integer factorization algorithm
An implementation of an algorithm for factoring integers using quantum computing and optimization techniques
Matrix factorization toolset
A software framework for nonnegative matrix factorization and its application to multi-modal omics data analysis
Matrix factorization tool
A software implementation of a matrix factorization technique to fuse graph structure and content into node embeddings.
geffy/tffm780
FM algorithm
An implementation of Factorization Machine with arbitrary order and multiple optimization methods
Federated prediction framework
A framework for incorporating uncertainty quantification into federated learning models
Factorization toolbox
Provides a collection of algorithms for nonnegative matrix and tensor factorizations.
Meta-programming library
An advanced C++ template metaprogramming framework for working with sequences and algorithms.
HMM algorithm
A TensorFlow implementation of an HMM layer with algorithms for forward/backward and viterbi decoding
Image fusion algorithm
Provides a Matlab implementation of an image fusion technique using multi-scale patch decomposition
Model benchmarking suite
Measures the performance of deep learning models in various deployment scenarios.
FL algorithm
An algorithm for Federated Learning that handles client subsampling and data heterogeneity with unbounded smoothness
Time Series Miner
A Python library implementing matrix profile algorithms for time series data mining tasks
Community detector
An algorithm that uses deep learning to factorize large matrices and identify overlapping communities in networks
ibayer/fastfm1.1K
Factorization algo library
A library providing optimized algorithms for matrix factorization in machine learning applications
Federated Learning optimizer
An algorithm for Federated Learning with heterogeneous data, designed to optimize deep neural networks and improve performance