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:
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆94Updated 3 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆100Updated 7 years ago
- ☆66Updated 5 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Frank-Wolfe optimization variants with a linear convergence rate☆22Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆59Updated 5 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Yet another tensor library☆23Updated 8 years ago
- High-performance Non-negative Matrix Factorizations (NMF) - Python/C++☆49Updated 7 years ago
- Distributed NMF/NTF Library☆51Updated last year
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆184Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- ☆23Updated 8 years ago
- mixed membership stochastic block model☆13Updated 9 years ago
- Jupyter notebooks for examples in the paper "Higher-order organization of complex networks".☆40Updated 8 years ago
- Bayesian multi-tensor factorization methods, with side information☆29Updated 5 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆19Updated 6 years ago
- Jax-based MaxEnt☆17Updated 6 years ago
- Library of common tools for machine learning research.☆41Updated 8 years ago
- Python/Cython wrapper for liblbfgs☆47Updated 7 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆58Updated 10 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- ☆68Updated last month
- ☆17Updated 10 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 5 years ago
- Variational Sparse Spectrum Gaussian Process toolkit☆22Updated 10 years ago
- LaTeX package for randomizing author order based on a public seed.☆41Updated 10 years ago