mnick / scikit-tensorLinks
Python library for multilinear algebra and tensor factorizations
☆408Updated 7 years ago
Alternatives and similar repositories for scikit-tensor
Users that are interested in scikit-tensor are comparing it to the libraries listed below
Sorting:
- Simple structured learning framework for python☆669Updated 3 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Bayesian Poisson tensor factorization☆61Updated 10 months ago
- Optimizers for machine learning☆183Updated 2 years ago
- Fast Randomized PCA/SVD☆497Updated 6 years ago
- Code for Mondrian Forests (for classification and regression)☆266Updated 9 years ago
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- megaman: Manifold Learning for Millions of Points☆329Updated 2 years ago
- ☆715Updated 2 years ago
- Cython implementation of k-MC2 and AFK-MC2 seeding☆205Updated 3 years ago
- Python Matrix Factorization Module☆137Updated 6 years ago
- Poincaré Embedding (unofficial)☆230Updated 6 years ago
- Flexible Bayesian inference using TensorFlow☆142Updated 8 years ago
- Nimfa: Nonnegative matrix factorization in Python☆552Updated 4 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- A python wrapper for Barnes-Hut tsne☆411Updated 2 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆55Updated 9 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆246Updated 5 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 7 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2016.☆99Updated 5 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Updated 8 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- Stochastic gradient routines for Theano☆103Updated 7 years ago
- Scikit-learn compatible estimation of general graphical models☆248Updated 3 months ago
- Kepler Mapper: A flexible Python implementation of the Mapper algorithm.☆643Updated last week
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆414Updated 6 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆504Updated 3 years ago