Alternatives and similar repositories for gmm:

Users that are interested in gmm are comparing it to the libraries listed below

• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 6 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 6 years ago
• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆112Updated 9 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 11 years ago
• zhuhan1236 / transfer-caffe
  [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe
  ☆19Updated 7 years ago
• nicklhy / AdversarialAutoEncoder
  Adversarial AutoEncoder implemented with MXNet
  ☆25Updated 6 years ago
• jacobeisenstein / DPMM
  Dirichlet process mixture model code in Matlab. Sampling and variational.
  ☆70Updated 12 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 8 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆147Updated 9 years ago
• diehl / Incremental-SVM-Learning-in-MATLAB
  This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…
  ☆72Updated 13 years ago
• y0ast / VAE-TensorFlow
  Implementation of a Variational Auto-Encoder in TensorFlow
  ☆209Updated 7 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆98Updated 8 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆64Updated last year
• rmgarnett / active_learning
  Active learning toolbox for MATLAB
  ☆46Updated 7 years ago
• tengerye / orthogonal-denoising-autoencoder
  Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'
  ☆16Updated 6 months ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 8 years ago
• viggin / domain-adaptation-toolbox
  Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms
  ☆168Updated 8 years ago
• honglaklee / convDBN
  ☆40Updated 8 years ago
• cmgreen210 / TensorFlowDeepAutoencoder
  MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
  ☆154Updated 2 years ago
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆45Updated 8 years ago
• likang7 / variational-dpgmm
  Variational Dirichlet Process Gaussian Mixture Models
  ☆27Updated 9 years ago
• STO-OTZ / my_gcForest
  ☆34Updated 7 years ago
• skaae / rbm_toolbox
  mostly changes in RBM code. including PCD
  ☆33Updated 10 years ago
• vaxin / TensorFlow-Examples
  TensorFlow Tutorial and Examples for beginners
  ☆37Updated 8 years ago
• jramapuram / CVAE
  Convolutional Variational Autoencoder
  ☆34Updated 5 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆214Updated 5 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 6 years ago
• AaronYALai / Machine_Learning_and_Having_It_Deep_and_Structured
  (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.
  ☆10Updated 8 years ago
• takerum / vat
  Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
  ☆110Updated 7 years ago