Alternatives and similar repositories for independence_test

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

• christinaheinze / core
  TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".
  ☆10Updated 6 years ago
• kjchalup / fcit
  A decision-tree based conditional independence test.
  ☆34Updated 2 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• wittawatj / fsic-test
  ICML 2017. Kernel-based adaptive linear-time independence test.
  ☆16Updated 3 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆152Updated 2 years ago
• oxcsml / kerpy
  python code for kernel methods
  ☆40Updated 6 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆49Updated last year
• alexisbellot / GCIT
  Conditional Independence Testing with Generative Adversarial Networks
  ☆12Updated 5 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆55Updated 3 years ago
• ericstrobl / RCIT
  The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)
  ☆25Updated 6 years ago
• rachtsingh / ibp_vae
  mean-field and structured VAEs for the IBP
  ☆23Updated 7 years ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated 2 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• caus-am / sigmasep
  Code for UAI 2018 paper by Forré & Mooij (causal discovery with mSCMs using sigma-separation)
  ☆10Updated 4 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆71Updated 5 years ago
• GoudetOlivier / CGNN
  Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
  ☆100Updated 6 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆14Updated 6 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆132Updated 6 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆12Updated 5 years ago
• fdtomasi / regain
  REGAIN (Regularised Graphical Inference)
  ☆29Updated 2 years ago
• cran / pcalg
   This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…
  ☆35Updated 10 months ago
• bd2kccd / py-causal
  ☆204Updated 2 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆76Updated 3 years ago
• joelnish / double-edge-swap-mcmc
  Contains methods to uniformly sample graphs with a given degree sequence.
  ☆19Updated 6 years ago
• christinaheinze / nonlinearICP-and-CondIndTests
  Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…
  ☆17Updated 5 years ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆32Updated 3 weeks ago