jmetzen / sparse-filteringLinks
Unsupervised feature learning based on sparse-filtering
☆55Updated 11 years ago
Alternatives and similar repositories for sparse-filtering
Users that are interested in sparse-filtering are comparing it to the libraries listed below
Sorting:
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 3 months ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- ☆19Updated 10 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- ☆68Updated last year
- Sparse Filtering☆220Updated 13 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- Scikit-learn compatible Locality Preserving Projections in Python☆94Updated 7 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 10 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 9 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- ☆74Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆72Updated 2 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 10 years ago
- Delay embedding for time series modeling and classification☆17Updated 8 years ago