Alternatives and similar repositories for empirical_bayes

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

• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆49Updated 10 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 9 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆41Updated 9 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 2 months ago
• jakevdp / ProntoData
  Scripts to Analyze Pronto's Data Release
  ☆24Updated 9 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 8 years ago
• klarsen1 / bstspost
  ☆88Updated 9 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 9 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 8 years ago
• echen / minifolds
  ggplot2-inspired d3 app to make instant interactive visualizations
  ☆55Updated 13 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 9 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 10 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆101Updated 5 years ago
• stitchfix / Algorithms-Notebooks
  Algorithm's team Jupyter Notebooks
  ☆113Updated 3 months ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 10 years ago
• jhofman / msd2015
  Modeling Social Data, Applied Mathematics, Columbia University (Spring 2015)
  ☆33Updated 6 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 9 years ago
• mharradon / LowRankPropagation
  Propagation Technique for Solving Low Rank Matrix Completion
  ☆37Updated 8 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 10 years ago
• hannawallach / python-lda
  LDA in Python.
  ☆26Updated 11 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 7 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated last year
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago