Alternatives and similar repositories for glm-sklearn

Users that are interested in glm-sklearn are comparing it to the libraries listed below

• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• binarybana / samcnet
  Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.
  ☆16Updated 10 years ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 4 years ago
• andymiller / pydtw
  A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.
  ☆26Updated 6 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 9 years ago
• wesm / statlib
  Bayesian State Space and Dynamic Models
  ☆35Updated 13 years ago
• clusterlib / clusterlib
  Tools to manage jobs on supercomputer
  ☆40Updated 9 years ago
• udellgroup / pyglrm
  The Python wrapper for LowRankModels.jl.
  ☆15Updated 5 years ago
• ska-sa / scikits.fitting
  ☆14Updated last year
• posterior / goftests
  Generic goodness of fit tests for random plain old data
  ☆11Updated last year
• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated 9 months ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• shunsukeaihara / pydtw
  Fast Imprementation of Dynamic Time Warping For Python
  ☆44Updated 2 years ago
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 5 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• sgubianpm / sdaopt
  Simulated Dual Annealing for python and benchmarks
  ☆15Updated 6 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆24Updated 10 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 8 years ago
• minrk / condamagic
  %conda magic for IPython
  ☆28Updated 8 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• mrocklin / dask-spark
  Dask and Spark interactions
  ☆21Updated 8 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago