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:
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆55Updated 10 years ago
- Python Matrix Factorization Module☆32Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- Bayesian Poisson tensor factorization☆63Updated last year
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 10 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆106Updated 11 years ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆27Updated 9 years ago
- Poisson matrix factorization and autotagger☆43Updated 10 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Modular Restricted Boltzmann Machine (RBM) implementation using Theano☆174Updated 12 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 6 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 10 years ago
- ☆141Updated 8 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated 2 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 8 years ago
- Cython implementation of k-MC2 and AFK-MC2 seeding☆206Updated 4 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 10 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 6 months ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- Optimizers for machine learning☆183Updated 2 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- Restricted Boltzmann Machines☆91Updated 10 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Randomized embeddings for extreme learning☆24Updated 10 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- Implementation of the VRAE☆60Updated 4 years ago
- The information sieve for discrete variables.☆36Updated 9 years ago