Alternatives and similar repositories for sparse-filtering:

Users that are interested in sparse-filtering are comparing it to the libraries listed below

• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• jngiam / sparseFiltering
  Sparse Filtering
  ☆218Updated 13 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• fgerzer / apsis
  ☆25Updated 2 years ago
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 10 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• rakeshvar / stacked_denoising_auto_encoder
  Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.
  ☆14Updated 9 years ago
• breze-no-salt / breze
  Breze with all the stuff.
  ☆96Updated 8 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago
• y0ast / Variational-Recurrent-Autoencoder
  Implementation of the VRAE
  ☆58Updated 3 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 9 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 9 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 5 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆108Updated 8 years ago
• RyotaKatoh / chainer-Variational-Recurrent-Autoencoder
  ☆18Updated 9 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆83Updated 3 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆65Updated 7 years ago
• rmgarnett / active_gp_hyperlearning
  Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…
  ☆15Updated 7 years ago
• dmarx / Topological-Anomaly-Detection
  Topological Anomaly Detection (TAD) per Gartley and Basener 2009
  ☆69Updated 4 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆16Updated 8 years ago
• enlitic / lasagne4newbs
  Some beginner code for lasagne - simpler than the examples included in lasagne
  ☆17Updated 8 years ago
• banilo / nips2015
  ☆14Updated 8 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago