mnick / scikit-tensorLinks
Python library for multilinear algebra and tensor factorizations
☆407Updated 6 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
- Fast Randomized PCA/SVD☆497Updated 5 years ago
- Optimizers for machine learning☆183Updated last year
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆414Updated 6 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- Bayesian Poisson tensor factorization☆60Updated 9 months ago
- Python Matrix Factorization Module☆137Updated 6 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- megaman: Manifold Learning for Millions of Points☆328Updated 2 years ago
- Code for Mondrian Forests (for classification and regression)☆266Updated 9 years ago
- Cython implementation of k-MC2 and AFK-MC2 seeding☆204Updated 3 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2016.☆98Updated 5 years ago
- Poincaré Embedding (unofficial)☆230Updated 6 years ago
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆55Updated 9 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆503Updated 3 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm …☆146Updated 10 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆519Updated 3 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 9 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- Nimfa: Nonnegative matrix factorization in Python☆551Updated 4 years ago
- A python wrapper for Barnes-Hut tsne☆411Updated 2 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 10 years ago
- A library for creating and using probabilistic graphical models☆76Updated 7 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago