Alternatives and similar repositories for spark-crowd:

Users that are interested in spark-crowd are comparing it to the libraries listed below

• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆76Updated 4 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated 6 months ago
• janezd / baycomp
  ☆72Updated 9 months ago
• powerscorinne / GLRM
  ☆98Updated 6 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆76Updated 11 months ago
• b0rxa / scmamp
  Statistical comparison of multiple algorithms
  ☆41Updated last year
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 2 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 10 months ago
• JacintoCC / rNPBST
  R package for Non Parametric and Bayesian Statistical Tests
  ☆11Updated 2 years ago
• predict-idlab / GENESIM
  [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…
  ☆79Updated 4 years ago
• ericsuh / dirichlet
  Dirichlet MLE python library
  ☆115Updated 11 months ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆264Updated 8 years ago
• tbroderick / streaming_vb
  This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…
  ☆41Updated 10 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated last year
• travisbrady / py-soft-impute
  Python implementation of Mazumder and Hastie's softImpute for matrix completion
  ☆46Updated 9 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆57Updated 4 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• openml / Study-14
  ☆12Updated 3 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…
  ☆128Updated 8 years ago
• citiususc / stac
  Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computa…
  ☆34Updated 4 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆86Updated 2 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 4 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 4 months ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆136Updated last year
• interpretable-ml / iml
  Interpretable ML package designed to explain any machine learning model.
  ☆61Updated 6 years ago
• ustunb / slim-python
  simple customizable scoring systems in python
  ☆41Updated last year
• jameshensman / VFF
  Variational Fourier Features
  ☆83Updated 3 years ago
• davidhallac / NetworkLasso
  ☆22Updated 9 years ago