erichson / rTensor
Randomized Tensor Decompositions
☆30Updated 8 years ago
Alternatives and similar repositories for rTensor:
Users that are interested in rTensor are comparing it to the libraries listed below
- Tensor Train Rank-1 decomposition☆19Updated 6 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- ☆22Updated 9 years ago
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆10Updated 3 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- ☆8Updated 8 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- Perform tensor-on-tensor regression☆20Updated 5 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆45Updated 10 years ago
- A lightweight accelerated proximal-gradient package for matlab☆32Updated 8 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 10 years ago
- The sample code to study non-negative matrix and tensor factorization.☆38Updated 4 years ago
- A matlab library for CUR matrix decomposition☆26Updated 7 years ago
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- Matlab code for Low rank Matrix Factorization with AMP☆16Updated 9 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Dirichlet Process K-means☆48Updated 10 months ago
- MATLAB Tensor Toolbox (by Tamara Kolda)☆40Updated 8 years ago
- Kernelized Bayesian Matrix Factorization☆17Updated 7 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 5 years ago
- ☆15Updated 6 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- Implementation of learning a Gaussian mixture model using tensor decomposition.☆16Updated 7 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Tensor spectral clustering.☆29Updated 7 years ago
- Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…☆17Updated 8 years ago