Alternatives and similar repositories for causality-course-ethz:

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

• annennenne / causalDisco
  Tools for causal discovery in R
  ☆18Updated 7 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 8 months 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 3 years ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆37Updated 11 months ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆27Updated 3 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆42Updated last year
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆43Updated 2 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆58Updated 4 years ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆34Updated 2 years ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 4 years ago
• WY-Chen / EqVarDAG
  Causal Discovery with Equal Variance Assumption
  ☆9Updated 2 years ago
• ghosthamlet / ananke
  Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…
  ☆13Updated 4 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last year
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆81Updated 6 years ago
• bradyneal / causal-book-code
  ☆76Updated 4 years ago
• VBayesLab / deepGLM
  Train deepGLM with Matlab, R and Python
  ☆27Updated 2 years ago
• ryantibs / statlearn-s23
  Course materials for Advanced Topics in Statistical Learning, Spring 2023
  ☆45Updated 2 months ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆53Updated 6 months ago
• d2cml-ai / mgtecon634_py
  This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…
  ☆12Updated last year
• ehkennedy / npcausal
  ☆93Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆40Updated 2 weeks ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆49Updated 2 years ago
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆59Updated 5 months ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 5 months ago
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆58Updated 5 years ago
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆18Updated 3 months ago
• ryantibs / statlearn-s24
  Course materials for Advanced Topics in Statistical Learning, Spring 2024
  ☆15Updated 2 months ago