Alternatives and similar repositories for BOA

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

• Hongyuy / sbrl
  repository for R library "sbrlmod"
  ☆25Updated last year
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• mariru / structured_embeddings
  ☆53Updated 7 years ago
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆30Updated 4 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 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
• ustunb / ctfdist
  repair classifiers with disparate impact
  ☆10Updated 6 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆49Updated last year
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• pcerda / ecml-pkdd-2018
  Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables
  ☆11Updated 7 years ago
• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆20Updated 5 years ago
• fated / libcp
  LibCP -- A Library for Conformal Prediction
  ☆12Updated 10 years ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 4 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 6 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• ustunb / slim-python
  simple customizable scoring systems in python
  ☆40Updated last year
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 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
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• clinicalml / ContinuousTimeMarkovModel
  Continuous-time Markov model with discrete observations
  ☆11Updated 9 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• cemoody / vfm
  Variational Factorization Machines
  ☆16Updated 8 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated 2 years ago