Alternatives and similar repositories for python-mle

Users that are interested in python-mle are comparing it to the libraries listed below

• tensorprob / tensorprob
  A probabilistic programming framework based on TensorFlow
  ☆87Updated 6 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 10 years ago
• isadoranun / FATS
  ☆75Updated last year
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 3 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆56Updated 8 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 3 months ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated last year
• jakevdp / supersmoother
  Efficient pure Python implementation of Friedman's Supersmoother
  ☆99Updated 2 weeks ago
• wildtreetech / bayesian-optimisation
  Finding the best parameters for any algorithm
  ☆42Updated 7 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated last month
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• sigopt / sigopt-python
  Simple Python interface for the SigOpt API
  ☆71Updated last week
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 7 years ago
• mmckerns / tutmom
  Tutorial on "Modern Optimization Methods in Python"
  ☆249Updated 7 months ago
• yandexdataschool / mlhep2016
  Machine Learning in High Energy Physics 2016
  ☆76Updated 5 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆38Updated 9 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆101Updated 5 years ago
• maxsklar / BayesPy
  Bayesian Inference Tools in Python
  ☆109Updated 2 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 10 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆187Updated 6 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127Updated 9 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• jakevdp / lpproj
  Scikit-learn compatible Locality Preserving Projections in Python
  ☆94Updated 7 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago