Alternatives and similar repositories for conditional_independence

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

• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 3 years ago
• rflperry / sparse_shift
  ☆9Updated 2 years ago
• ArnoVel / structure-identification
  Uses several statistical tests / algorithms on marginal / conditional distributions
  ☆8Updated last year
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated 8 months ago
• zecevic-matej / Not-All-Causal-Inference-is-the-Same
  Official code repository to the corresponding paper.
  ☆29Updated last year
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• WY-Chen / EqVarDAG
  Causal Discovery with Equal Variance Assumption
  ☆9Updated 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
• uhlerlab / graphical_models
  Implementations of common graphical models, utilities for creating random graphs, and sampling from graphical models.
  ☆11Updated last year
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆37Updated last year
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆18Updated 2 months ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆31Updated 4 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• boschresearch / causalAssembly
  ☆28Updated last year
• christinaheinze / core
  TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".
  ☆10Updated 6 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆62Updated 3 months ago
• junyzhou10 / MetaLearners
  The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…
  ☆11Updated 2 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 3 years ago
• ericstrobl / CCI
  Cyclic Causal Inference
  ☆12Updated last year
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated 4 months ago
• kisungyou / Riemann
  Learning with Data on Riemannian Manifolds
  ☆10Updated 2 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated last year
• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated last year
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆21Updated 6 months ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆151Updated 2 years ago
• nikikilbertus / cf-fairness-sensitivity
  The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019
  ☆11Updated 5 years ago
• bd2kccd / causal-cmd
  ☆17Updated last month