MetaMF
Matrix factorization algorithm
This repository provides an implementation of the Meta Matrix Factorization algorithm for federated rating predictions in distributed data settings.
17 stars
1 watching
2 forks
Language: Jupyter Notebook
last commit: over 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 mstechly/vqf | An implementation of an algorithm for factoring integers using quantum computing and optimization techniques | 50 |
 yangzi4/inmf | A software framework for nonnegative matrix factorization and its application to multi-modal omics data analysis | 16 |
 benedekrozemberczki/fscnmf | A software implementation of a matrix factorization technique to fuse graph structure and content into node embeddings. | 19 |
 geffy/tffm | An implementation of Factorization Machine with arbitrary order and multiple optimization methods | 780 |
 clu5/federated-conformal | A framework for incorporating uncertainty quantification into federated learning models | 10 |
 kimjingu/nonnegfac-matlab | Provides a collection of algorithms for nonnegative matrix and tensor factorizations. | 57 |
 deepgrace/monster | An advanced C++ template metaprogramming framework for working with sequences and algorithms. | 161 |
 dwiel/tensorflow_hmm | A TensorFlow implementation of an HMM layer with algorithms for forward/backward and viterbi decoding | 287 |
 xiaohuiben/fmmef-tip-2020 | Provides a Matlab implementation of an image fusion technique using multi-scale patch decomposition | 43 |
 mlcommons/inference | Measures the performance of deep learning models in various deployment scenarios. | 1,243 |
 mingruiliu-ml-lab/episode_plusplus | An algorithm for Federated Learning that handles client subsampling and data heterogeneity with unbounded smoothness | 0 |
 matrix-profile-foundation/matrixprofile | A Python library implementing matrix profile algorithms for time series data mining tasks | 362 |
 smartyfh/danmf | An algorithm that uses deep learning to factorize large matrices and identify overlapping communities in networks | 22 |
 ibayer/fastfm | A library providing optimized algorithms for matrix factorization in machine learning applications | 1,077 |
| mingruiliu-ml-lab/episode | An algorithm for Federated Learning with heterogeneous data, designed to optimize deep neural networks and improve performance | 2 |