Alternatives and similar repositories for dgcit

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

• jjcherian / fairaudit
  Statistical inference for fairness auditing
  ☆14Updated 2 years ago
• alexisbellot / GCIT
  Conditional Independence Testing with Generative Adversarial Networks
  ☆15Updated 6 years ago
• christinaheinze / core
  TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".
  ☆10Updated 7 years ago
• kjchalup / independence_test
  A deep-learning-based conditional independence test that works for big, high-dimensional data.
  ☆14Updated 8 years ago
• uhlerlab / actlearn_optint
  Active learning for optimal intervention design in causal models
  ☆16Updated 2 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
• xwshen51 / DistributionalPrincipalAutoencoder
  ☆12Updated last year
• keskarnitish / NQN
  A Limited-Memory Quasi-Newton Algorithm for Bound-Constrained Nonsmooth Optimization
  ☆13Updated 9 years ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆27Updated 4 years ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆39Updated 5 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆56Updated 4 years ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• alexisthual / fugw
  Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…
  ☆46Updated 6 months ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• caus-am / sigmasep
  Code for UAI 2018 paper by Forré & Mooij (causal discovery with mSCMs using sigma-separation)
  ☆10Updated 5 years ago
• tijana-zrnic / active-inference
  ☆18Updated last year
• nikikilbertus / cf-fairness-sensitivity
  The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019
  ☆14Updated 5 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆155Updated 2 years ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated 2 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆77Updated 3 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆85Updated 4 years ago
• francescomontagna / causally
  Code for the causal benchmark library
  ☆12Updated 9 months ago
• statmlben / dnn-inference
  Significance tests of feature relevance for a black-box learner
  ☆20Updated last year
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆23Updated 4 years ago
• benchopt / benchmark_lasso
  Benchopt benchmark for Lasso
  ☆14Updated 5 months ago
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 11 months ago
• rajatsen91 / CCIT
  Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing
  ☆48Updated 2 years ago
• BasisResearch / millipede
  A library for bayesian variable selection
  ☆31Updated 11 months ago
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆21Updated 9 months ago
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 7 years ago