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 3 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆150Updated 10 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆150Updated 7 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• y0ast / VAE-TensorFlow
  Implementation of a Variational Auto-Encoder in TensorFlow
  ☆208Updated 8 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
• zhuhan1236 / transfer-caffe
  [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe
  ☆18Updated 8 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
• viorik / ConvLSTM
  Spatio-temporal video autoencoder with convolutional LSTMs
  ☆294Updated 9 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆107Updated 9 years ago
• kvmanohar22 / Generative-Models
  Comparison of Generative Models in Tensorflow
  ☆97Updated 8 years ago
• ynd / cae.py
  Contractive Auto-Encoders in Numpy
  ☆29Updated 13 years ago
• takerum / vat
  Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
  ☆110Updated 8 years ago
• dustinstansbury / medal
  Matlab Environment for Deep Architecture Learning
  ☆109Updated 11 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆192Updated 7 years ago
• nicklhy / AdversarialAutoEncoder
  Adversarial AutoEncoder implemented with MXNet
  ☆25Updated 7 years ago
• cmgreen210 / TensorFlowDeepAutoencoder
  MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
  ☆153Updated 3 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆41Updated 8 years ago
• tengerye / orthogonal-denoising-autoencoder
  Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'
  ☆16Updated last year
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆33Updated 10 years ago
• negar-rostamzadeh / LSTM-Attention
  LSTM-Attention
  ☆75Updated 8 years ago
• jsikyoon / SequentialData-GAN
  Tensorflow Implementation of GAN modeling for sequential data
  ☆69Updated 8 years ago
• jimmy-ren / vLSTM
  Vectorized multimodal LSTM using Matlab and GPU
  ☆32Updated 9 years ago
• jlindsey15 / RAM
  Recurrent Visual Attention Model
  ☆135Updated 6 years ago
• apsarath / CorrNet
  ☆51Updated 10 years ago
• iwyoo / ConvLSTMCell-tensorflow
  ConvLSTMCell for TensorFlow
  ☆59Updated 8 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 8 years ago
• snowkylin / rnn-vae
  Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
  ☆39Updated 9 years ago
• dkyang / UFLDL-Tutorial-Exercise
  ☆76Updated 8 years ago
• yosinski / convnet_transfer
  Code for paper "How transferable are features in deep neural networks?"
  ☆151Updated 6 years ago