Alternatives and similar repositories for libpgm

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

• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆142Updated 8 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆164Updated 10 years ago
• jmschrei / yahmm
  Yet Another Hidden Markov Model repository.
  ☆249Updated 10 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
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 10 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated 2 years ago
• xinlin192 / GraphicalModel
  Courera Version of Graphical Model.. Cooperate with Jian Guo.
  ☆122Updated 8 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆136Updated 5 years ago
• tdhopper / notes-on-dirichlet-processes
  Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
  ☆412Updated 6 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 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
• MarcCote / iRBM
  Train an Infinite Restricted Boltzmann Machine
  ☆28Updated 7 years ago
• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆306Updated 10 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆102Updated 5 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆222Updated last year
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆268Updated 9 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• premgopalan / hgaprec
  Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335
  ☆55Updated 10 years ago
• lmjohns3 / kohonen
  Kohonen vector quantizers (SOM, NG, GNG)
  ☆71Updated 7 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• simaaron / kaggle-Rain
  Winning solution to the Kaggle competition - How Much Did It Rain? II
  ☆154Updated 9 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆225Updated 9 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆407Updated 7 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆48Updated 8 years ago
• HIPS / Probabilistic-Backpropagation
  Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
  ☆191Updated 6 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• breze-no-salt / breze
  Breze with all the stuff.
  ☆95Updated 9 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆217Updated 6 years ago