Alternatives and similar repositories for megaman

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

• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆683Updated this week
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 5 months ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆137Updated 4 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆276Updated 6 months ago
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆193Updated 10 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆222Updated last year
• mcleonard / sampyl
  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
  ☆338Updated 2 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 4 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆251Updated last year
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆406Updated 7 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆83Updated 5 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• jamesrobertlloyd / gp-structure-search
  ☆241Updated 8 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
• peterwittek / somoclu
  Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
  ☆276Updated last year
• uchicago-cs / deepdish
  Flexible HDF5 saving/loading and other data science tools from the University of Chicago
  ☆273Updated last year
• arthurmensch / modl
  Randomized online matrix factorization
  ☆140Updated 5 years ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆459Updated last week
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆56Updated 8 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆233Updated 2 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 5 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
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 4 years ago
• mattjj / pybasicbayes
  ☆155Updated 6 years ago
• facebookarchive / fbpca
  Fast Randomized PCA/SVD
  ☆497Updated 6 years ago
• gregversteeg / CorEx
  CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded…
  ☆306Updated 8 years ago
• bamos / block
  An intelligent block matrix library for numpy, PyTorch, and beyond.
  ☆310Updated last year