Alternatives and similar repositories for yahmm

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

• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated last year
• breze-no-salt / breze
  Breze with all the stuff.
  ☆95Updated 9 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 7 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆102Updated 5 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 10 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 8 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• probcomp / crosscat
  A domain-general, Bayesian method for analyzing high-dimensional data tables
  ☆328Updated last year
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆266Updated 9 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆142Updated 8 years ago
• abhik / pebl
  Python Environment for Bayesian Learning
  ☆104Updated 13 years ago
• craffel / simple_spearmint
  Spearmint, without the gum
  ☆42Updated 8 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• peterwittek / somoclu
  Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
  ☆277Updated last year
• ajtulloch / sklearn-compiledtrees
  Compiled Decision Trees for scikit-learn
  ☆229Updated 6 months ago
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆364Updated 8 years ago
• CyberPoint / libpgm
  A library for creating and using probabilistic graphical models
  ☆76Updated 7 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆49Updated 10 years ago
• larsmans / seqlearn
  Sequence learning toolkit for Python
  ☆699Updated 2 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 10 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 8 years ago
• salspaugh / machine_learning
  Some example machine learning algorithm implementations from Berkeley's CS 281A during Fall 2012.
  ☆54Updated 10 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆207Updated 7 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆67Updated 10 years ago
• lyst / rpforest
  It is a forest of random projection trees
  ☆224Updated 5 years ago
• kylemcdonald / Coloring-t-SNE
  Exploration of methods for coloring t-SNE.
  ☆218Updated 8 years ago
• HIPS / Kayak
  Kayak is a library for automatic differentiation with applications to deep neural networks.
  ☆228Updated 8 years ago