Alternatives and similar repositories for causality-tutorials:

Users that are interested in causality-tutorials are comparing it to the libraries listed below

• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆74Updated 4 years ago
• 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
• csquires / 6.S091-causality
  ☆184Updated 2 years ago
• klasnja / HeartStepsV1
  Data from the HeartSteps V1 study
  ☆14Updated last year
• blei-lab / deconfounder_public
  ☆21Updated 2 years ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆67Updated last year
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆116Updated last month
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆68Updated last week
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆102Updated 4 years ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆116Updated last year
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆62Updated 2 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆45Updated 3 years ago
• bradyneal / causal-book-code
  ☆78Updated 4 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 8 months ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆320Updated 6 months ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• ehkennedy / npcausal
  ☆94Updated last year
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆82Updated 3 weeks ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆48Updated last year
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆170Updated 11 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆100Updated 2 months ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆74Updated 3 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• acmi-lab / local-causal-discovery
  Code for the paper "Local Causal Discovery for Estimating Causal Effects".
  ☆8Updated last year
• francescomontagna / causally
  Code for the causal benchmark library
  ☆12Updated last month
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆50Updated 2 years ago