Alternatives and similar repositories for hmm:

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

• cangermueller / deepcpg_legacy
  Deep neural network for predicting methylation states of single cells
  ☆13Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• mgalardini / python_plotting_snippets
  Tips and tricks for plotting in python
  ☆28Updated 6 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• kundajelab / keras
  Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
  ☆14Updated 7 years ago
• adri-romsor / DietNetworks
  ☆34Updated 7 years ago
• uci-cbcl / tree-hmm
  Tree hidden Markov model for learning epigenetic states in multiple cell types
  ☆28Updated 11 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• ramzan1990 / sequence2vec
  ☆21Updated 8 years ago
• jssong-lab / maxEnt
  ☆11Updated 7 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆24Updated 10 years ago
• Emaasit / long-range-extrapolation
  Capturing Structure Implicitly from Noisy Time-Series having Limited Data
  Updated 7 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 12 years ago
• jiwoongim / ft-SNE
  f-divergence based t-SNE
  ☆16Updated 2 years ago
• binarybana / samcnet
  Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.
  ☆16Updated 10 years ago
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 10 years ago
• david-r-cox / Gene2vec
  Vector space representation of genetic data
  ☆36Updated 8 years ago
• swcarpentry / web-data-python
  Getting and publishing data on the web using Python.
  ☆9Updated 8 years ago
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• kundajelab / seqdataloader
  Sequence data label generation and ingestion into deep learning models
  ☆12Updated 3 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 8 years ago
• YeoLab / anchor
  Find bimodal, unimodal, and multimodal features in your data
  ☆27Updated 6 years ago
• kuleshov / deep-learning-models
  Implementations of popular deep learning models in Theano+Lasagne
  ☆24Updated 7 years ago
• BitSeq / BitSeq
  BitSeq code
  ☆16Updated 3 years ago
• yifeng-li / deep_learning
  Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano
  ☆23Updated 10 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 9 years ago
• realbigws / DeepCNF_AUC
  Training Conditional Random Fields (CRF) by Maximizing Area Under the ROC Curve (AUC)
  ☆13Updated 6 years ago
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 4 years ago
• bioinfo-cnb / bionmf-gpu
  NMF-mGPU web site:
  ☆27Updated 9 years ago