Short tutorials on the use of machine learning methods for causal inference
☆52May 15, 2026Updated 5 months ago
Alternatives and similar repositories for causality-tutorials
Users that are interested in causality-tutorials are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Nov 26, 2021Updated 4 years ago
- Project on Causal Machine learning CS 7290☆16Dec 7, 2019Updated 6 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Apr 19, 2021Updated 5 years ago
- European Summer School on AI Course "Machines Climbing Pearl's Ladder of Causation"☆13Feb 20, 2024Updated 2 years ago
- Lectures and Tutorials for the Causal AI course☆56Jul 13, 2026Updated 3 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for Colangelo and Lee (2025)☆17Feb 3, 2025Updated last year
- Tensorflow 2 implementation of Causal-BERT☆73Nov 5, 2023Updated 2 years ago
- ☆17Oct 25, 2016Updated 9 years ago
- ☆12Nov 27, 2023Updated 2 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Jul 10, 2024Updated 2 years ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Sep 21, 2024Updated 2 years ago
- Code for the causal benchmark library☆13Mar 11, 2025Updated last year
- Implementation for Decision-focused Summarization (EMNLP2021)☆12Mar 14, 2022Updated 4 years ago
- Causal Discovery in R☆24Sep 29, 2026Updated 2 weeks ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Model Discrete Parameters In Stan☆11Dec 13, 2017Updated 8 years ago
- Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples☆13Aug 6, 2023Updated 3 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆20May 19, 2022Updated 4 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆25Jul 1, 2026Updated 3 months ago
- ☆46Feb 16, 2022Updated 4 years ago
- This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new t…☆13Sep 12, 2019Updated 7 years ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23May 21, 2019Updated 7 years ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆14Jul 21, 2023Updated 3 years ago
- ☆15Oct 5, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆22May 7, 2022Updated 4 years ago
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Jul 15, 2022Updated 4 years ago
- Code for DID chapter☆12May 30, 2023Updated 3 years ago
- Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem☆14Jul 25, 2026Updated 2 months ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆17Jun 7, 2021Updated 5 years ago
- Tools for estimating interactions☆14Jan 10, 2023Updated 3 years ago
- # Breast-cancer-risk-prediction > Necessity, who is the mother of invention. – Plato* ## Welcome to my GitHub repository on Using Predi…☆15Sep 6, 2019Updated 7 years ago
- Curated research at the intersection of causal inference and natural language processing.☆818Feb 1, 2024Updated 2 years ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆23Mar 3, 2025Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- A python package for finding causal functional connectivity from neural time series observations.☆19Jun 19, 2026Updated 3 months ago
- Source code for blog post at https://hautahi.com/im_ris☆12Jan 8, 2019Updated 7 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆125Sep 23, 2020Updated 6 years ago
- The relevant codes of our work "Enhancing Robustness and Transmission Performance of Heterogeneous Complex Networks via Multi-Objective O…☆13May 30, 2022Updated 4 years ago
- ☆10Feb 18, 2020Updated 6 years ago
- ☆12Mar 21, 2024Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Jul 6, 2020Updated 6 years ago