risi-kondor / pMMFLinks
The pMMF Multiresolution Matrix Factorization Library
☆27Updated 7 years ago
Alternatives and similar repositories for pMMF
Users that are interested in pMMF are comparing it to the libraries listed below
Sorting:
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆94Updated 3 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Bayesian multi-tensor factorization methods, with side information☆29Updated 5 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆100Updated 7 years ago
- Yet another tensor library☆23Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- High-performance Non-negative Matrix Factorizations (NMF) - Python/C++☆49Updated 7 years ago
- Distributed NMF/NTF Library☆48Updated 10 months ago
- my PhD thesis on Bayesian inference☆27Updated 12 years ago
- Variational Sparse Spectrum Gaussian Process toolkit☆22Updated 10 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆19Updated 5 years ago
- ☆66Updated 5 years ago
- ☆14Updated 10 years ago
- ☆24Updated 8 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- Legendre decomposition for tensors☆13Updated 7 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- ☆68Updated 2 weeks ago
- Jupyter notebooks for examples in the paper "Higher-order organization of complex networks".☆40Updated 8 years ago
- Python/Cython wrapper for liblbfgs☆46Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Graph kernels☆55Updated 3 years ago
- Multilinear PageRank☆15Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.☆129Updated 4 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆30Updated 5 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago