Alternatives and similar repositories for aci:

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

• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• sanghack81 / SCMMAB-NIPS2018
  Structural Causal Bandit
  ☆23Updated 3 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
• GoudetOlivier / CGNN
  Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
  ☆99Updated 5 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 10 months ago
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆29Updated 4 years ago
• sanghack81 / SDCIT
  A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)
  ☆16Updated 4 years ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year
• kjchalup / independence_test
  A deep-learning-based conditional independence test that works for big, high-dimensional data.
  ☆14Updated 7 years ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆37Updated 11 months ago
• aschein / pgds
  Poisson-Gamma dynamical systems
  ☆16Updated 8 years ago
• eberharf / fges-py
  ☆17Updated 5 years ago
• bd2kccd / causal-cmd
  ☆16Updated last month
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• rajatsen91 / CCIT
  Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing
  ☆46Updated last year
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆52Updated 6 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆43Updated 2 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆72Updated 2 years ago
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆58Updated 10 months ago
• ssamot / causality
  Kaggle's Causality Challenge Solution for team FirfiD
  ☆26Updated 11 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 4 months ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆11Updated last year
• WY-Chen / EqVarDAG
  Causal Discovery with Equal Variance Assumption
  ☆9Updated 2 years ago
• christinaheinze / core
  TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".
  ☆10Updated 6 years ago
• maxwshen / iap-cidl
  Causal Inference & Deep Learning, MIT IAP 2018
  ☆85Updated 7 years ago
• dtak / hs-bnn-public
  ☆12Updated 7 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆100Updated 4 years ago
• sjblim / rmsn_nips_2018
  ☆37Updated 6 years ago
• mkocaoglu / CausalGAN
  ☆141Updated 7 years ago