Alternatives and similar repositories for gmm

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

• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• tankle / EM
  EM algorithm
  ☆60Updated 9 years ago
• y0ast / VAE-TensorFlow
  Implementation of a Variational Auto-Encoder in TensorFlow
  ☆209Updated 8 years ago
• jlindsey15 / RAM
  Recurrent Visual Attention Model
  ☆135Updated 5 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…
  ☆74Updated 13 years ago
• jimmy-ren / vLSTM
  Vectorized multimodal LSTM using Matlab and GPU
  ☆32Updated 9 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆147Updated 9 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆59Updated 13 years ago
• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆115Updated 9 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 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
• jasonwbw / DensityPeakCluster
  A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.
  ☆305Updated 7 years ago
• stober / pca
  Principle Component Analysis in Python
  ☆42Updated 13 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆191Updated 7 years ago
• duducheng / clustering_tutorial
  A Tutorial of KMeans(++), GMM and Spectral Clustering
  ☆25Updated 8 years ago
• mikesj-public / convolutional_autoencoder
  Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
  ☆169Updated 7 years ago
• honglaklee / convDBN
  ☆40Updated 8 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆213Updated 5 years ago
• norouzi / hdml
  Hamming Distance Metric Learning with Non-linear Projection
  ☆73Updated 11 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• iwyoo / ConvLSTMCell-tensorflow
  ConvLSTMCell for TensorFlow
  ☆59Updated 7 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago
• karpathy / Random-Forest-Matlab
  A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.
  ☆188Updated 11 years ago
• QuantumLiu / matDL
  A lightweight MATLAB deeplearning toolbox,based on gpuArray.
  ☆53Updated 7 years ago
• dvatterott / BMM_attentional_CNN
  A CNN with an attentional module that I built while attending the brains minds and machines summer course
  ☆68Updated 6 years ago
• Elyorcv / SAE
  Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017
  ☆146Updated 6 years ago
• zhuhan1236 / transfer-caffe
  [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe
  ☆18Updated 7 years ago