Alternatives and similar repositories for sbrl:

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

• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆19Updated 5 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 3 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆10Updated 5 years ago
• mariru / structured_embeddings
  ☆53Updated 7 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated last year
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• brochier / idne
  Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)
  ☆17Updated 2 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• stefanoteso / caipi
  CAIPI turns LIMEs into trust!
  ☆12Updated 4 years ago
• lateral / minkowski
  Skip-gram word embeddings in hyperbolic space
  ☆34Updated 6 years ago
• pcerda / ecml-pkdd-2018
  Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables
  ☆11Updated 6 years ago
• TopSBM / topsbm
  Scikit-learn compatible Topic Modelling with Hierarchical Statistical Block Models (Gerlach, Peixoto and Altmann, 2018)
  ☆28Updated 6 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• meelgroup / MLIC
  A new framework to generate interpretable classification rules
  ☆17Updated 2 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 4 years ago
• marcotcr / anchor-experiments
  Experiments for AAAI anchor paper
  ☆63Updated 7 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆56Updated 2 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆28Updated 6 years ago
• apmoore1 / fiesta
  Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
  ☆14Updated 2 years ago
• mast-group / sequence-mining
  Probabilistic Sequence Mining
  ☆45Updated 6 years ago
• starling-lab / BoostSRL
  BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
  ☆32Updated last year
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆29Updated 4 years ago
• iesl / xcluster
  Algorithms and evaluation tools for extreme clustering
  ☆72Updated 5 years ago
• Noahs-ARK / idea_relations
  A framework to identify relations between ideas in temporal text corpora.
  ☆28Updated 7 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆19Updated last year
• TaddyLab / deepir
  deep inverse regression
  ☆31Updated 9 years ago
• peterbhase / InterpretableNLP-ACL2020
  Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"
  ☆46Updated last year
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆56Updated 10 months ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 2 years ago