Alternatives and similar repositories for jci

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

• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆154Updated 2 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆49Updated 3 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆76Updated 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…
  ☆79Updated 4 years ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• microsoft / Project-BayesDAG
  ☆14Updated last year
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆92Updated 5 months ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated this week
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆72Updated last week
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year
• 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
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆19Updated 7 months ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆84Updated 2 weeks ago
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆126Updated last year
• boschresearch / causalAssembly
  ☆30Updated last month
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated last year
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆53Updated 4 years ago
• chunlinli / defuse
  Nonlinear Causal Discovery with Confounders
  ☆20Updated 2 years ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆76Updated 2 years ago
• juangamella / sempler
  Framework to generate observational and interventional samples from structural equation models (SEMs)
  ☆19Updated 5 months ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 8 months ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆52Updated last year
• ericstrobl / RCIT
  The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)
  ☆27Updated 6 years ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 6 years ago
• francescomontagna / causally
  Code for the causal benchmark library
  ☆12Updated 7 months ago
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆36Updated 3 years ago
• AnaRitaNogueira / Methods-and-Tools-for-Causal-Discovery-and-Causal-Inference
  This repository is used as a support for the paper "" (to be named)
  ☆25Updated 3 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆20Updated 7 months ago