risi-kondor / pMMF
The pMMF Multiresolution Matrix Factorization Library
☆26Updated 6 years ago
Alternatives and similar repositories for pMMF:
Users that are interested in pMMF are comparing it to the libraries listed below
- Distributed NMF/NTF Library☆44Updated 3 months ago
- ☆23Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- ☆14Updated 9 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Deep Learning package for Python☆25Updated 6 years ago
- active learning + reusable workflows + likelihood free inference☆60Updated 7 years ago
- Bayesian multi-tensor factorization methods, with side information☆29Updated 4 years ago
- High-performance Non-negative Matrix Factorizations (NMF) - Python/C++☆49Updated 6 years ago
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆89Updated 2 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆18Updated 5 years ago
- Hierarchical variational models for physics.☆17Updated 4 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 8 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 4 years ago
- ☆19Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- First-order optimization tools☆25Updated last year
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆28Updated 5 months ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- Jupyter notebooks for examples in the paper "Higher-order organization of complex networks".☆39Updated 7 years ago
- Yet another tensor library☆23Updated 8 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆99Updated 7 years ago
- Python library for working with gaussian processes☆14Updated 11 years ago
- Bayesian Nonparametric Mixture Models in Julia☆14Updated 7 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Python/Cython wrapper for liblbfgs☆44Updated 6 years ago
- Graph kernels☆56Updated 3 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago