Alternatives and similar repositories for Entropic-Causality

Users that are interested in Entropic-Causality are comparing it to the libraries listed below

• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆30Updated 5 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 5 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 4 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆32Updated 2 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆87Updated 4 years ago
• twgr / ccfs
  Canonical Correlation Forests
  ☆21Updated 7 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 7 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated 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
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 8 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆85Updated 5 years ago
• BouchardLab / pyuoi
  The Union of Intersections Framework in Python
  ☆15Updated last month
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆24Updated 4 years ago
• leotrs / sunbeam
  SuNBEaM, (s)pectral (n)on-(b)acktracking (e)igenvalue pseudo-(m)etric, a topological graph distance
  ☆16Updated 6 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆11Updated 6 years ago
• tbroderick / mlss2015_bnp_tutorial
  ☆24Updated 9 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago