fela / matrix-completionLinks
Matrix completion and decomposition algorithm
☆26Updated 12 years ago
Alternatives and similar repositories for matrix-completion
Users that are interested in matrix-completion are comparing it to the libraries listed below
Sorting:
- Python Matrix Factorization Module☆32Updated 10 years ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆27Updated 9 years ago
- Bayesian Poisson tensor factorization☆63Updated 11 months ago
- ☆68Updated 2 weeks ago
- Cython implementation of k-MC2 and AFK-MC2 seeding☆205Updated 4 years ago
- Optimizers for machine learning☆182Updated 2 years ago
- Restricted Boltzmann Machines☆91Updated 10 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆106Updated 11 years ago
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆55Updated 10 years ago
- Modular Restricted Boltzmann Machine (RBM) implementation using Theano☆174Updated 12 years ago
- ☆140Updated 7 years ago
- Online Multi-Class LPBoost and Gradient Boosting☆68Updated 10 years ago
- Online Random Forests☆90Updated 10 years ago
- Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]☆50Updated 6 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Sparse Filtering☆219Updated 13 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 11 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 8 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated 2 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- The information sieve for discrete variables.☆36Updated 9 years ago
- Implementations of matrix factorization or tensor factorization algorithms☆32Updated 9 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Python Matrix Factorization Module☆137Updated 6 years ago
- A library for creating and using probabilistic graphical models☆76Updated 7 years ago
- ☆74Updated 6 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 10 years ago