Alternatives and similar repositories for Chordalysis

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

• starling-lab / BoostSRL
  BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
  ☆32Updated 2 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 This reference implementation has been superseded…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
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆266Updated 9 years ago
• Nth-iteration-labs / streamingbandit
  Python application to setup and run streaming (contextual) bandit experiments.
  ☆81Updated 2 weeks ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆136Updated 4 years ago
• analog-garage / dimple
  Dimple: Java and Matlab libraries for probabilistic inference
  ☆82Updated 8 years ago
• jMotif / sax-vsm_classic
  SAX-VSM public release, visit our website for detail
  ☆94Updated 3 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆48Updated 8 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆193Updated 10 years ago
• nextml / NEXT
  NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-wo…
  ☆163Updated last year
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆28Updated 9 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆142Updated 8 years ago
• usnistgov / pmml_pymcBN
  ☆41Updated 7 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated last year
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 5 years ago
• arranger1044 / spyn
  Sum-Product Network learning routines in python
  ☆27Updated 10 years ago
• laudv / bitboost
  Fast Gradient Boosting Decision Trees with Bit-Level Data Structures
  ☆17Updated 3 years ago
• ffx-org / ffx
  Fast Function Extraction
  ☆85Updated 2 months ago
• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆306Updated 10 years ago
• jMotif / SAX
  Java implementation of SAX, HOT-SAX, and EMMA
  ☆83Updated last year
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆100Updated 7 years ago
• corels / corels
  Learning Certifiably Optimal Rule Lists
  ☆175Updated 3 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
• opcode81 / ProbCog
  A toolbox for statistical relational learning and reasoning.
  ☆102Updated 3 years ago
• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 10 years ago
• gingsmith / cocoa
  communication-efficient distributed coordinate ascent
  ☆91Updated 6 years ago
• probcomp / trcrpm
  Temporally-reweighted Chinese restaurant process mixture models for multivariate time series
  ☆37Updated last year