Alternatives and similar repositories for HMM

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

• abietti / online_hmm
  Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering
  ☆71Updated 10 years ago
• MarvinBertin / HiddenMarkovModel_TensorFlow
  TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
  ☆137Updated 5 years ago
• stober / gmm
  Gaussian Mixture Models in Python
  ☆154Updated 13 years ago
• tostq / Easy_HMM
  A easy HMM program written with Python, including the full codes of training, prediction and decoding.
  ☆403Updated 6 years ago
• ananthpn / pyhmm
  HMM Implementation in Python
  ☆36Updated 10 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 years ago
• jvkersch / hsmmlearn
  A library for hidden semi-Markov models with explicit durations
  ☆86Updated 3 years ago
• dwiel / tensorflow_hmm
  A tensorflow implementation of an HMM layer
  ☆285Updated 7 years ago
• larsmans / seqlearn
  Sequence learning toolkit for Python
  ☆695Updated 2 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
• adiyoss / DeepSegmentor
  Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)
  ☆17Updated 8 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 7 years ago
• jason2506 / PythonHMM
  A toy Python implementation of the Hidden Markov Model.
  ☆77Updated 13 years ago
• aehuynh / hidden-markov-model
  First order HMM with Viterbi, Forward-Backward and Baum-Welch implementations
  ☆47Updated 9 years ago
• nsfinkelstein / hierarchical-rnn
  Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
  ☆135Updated 7 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• limbo018 / FRU
  ☆40Updated 6 years ago
• uyaseen / theano-recurrence
  Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language mo…
  ☆44Updated 8 years ago
• jacoxu / encoder_decoder
  Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
  ☆278Updated 8 years ago
• dennybritz / rnn-tutorial-gru-lstm
  Language Model GRU with Python and Theano
  ☆500Updated 9 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆66Updated 7 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆63Updated 2 years ago
• jych / nips2015_vrnn
  ☆292Updated 7 years ago
• tankle / EM
  EM algorithm
  ☆60Updated 10 years ago
• jramapuram / CVAE
  Convolutional Variational Autoencoder
  ☆34Updated 5 years ago
• qiuqiangkong / matlab-hmm
  Open source HMM toolbox, with Discrete-HMM, Gaussian-HMM, GMM-HMM. (matlab)
  ☆78Updated 8 years ago
• shawntan / python-crf
  Python implementation of linear-chain conditional random fields.
  ☆101Updated 11 years ago
• jmschrei / yahmm
  Yet Another Hidden Markov Model repository.
  ☆248Updated 9 years ago
• Cospel / rbm-ae-tf
  Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.
  ☆83Updated 4 years ago
• mattjj / pyhsmm
  ☆560Updated 5 months ago