Some notes on Causal Inference, with examples in python
☆157Feb 24, 2020Updated 6 years ago
Alternatives and similar repositories for notes-on-causal-inference
Users that are interested in notes-on-causal-inference are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Causal Graphical Models in Python☆250Feb 13, 2023Updated 3 years ago
- Causal Inference in Python☆579Sep 26, 2026Updated last month
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,363Jan 8, 2022Updated 4 years ago
- Repository with code and slides for a tutorial on causal inference.☆592Sep 23, 2019Updated 7 years ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,381Updated this week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Dec 27, 2022Updated 3 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84May 23, 2018Updated 8 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆816Dec 1, 2025Updated 10 months ago
- An index of algorithms for learning causality with data☆3,298Oct 7, 2026Updated 3 weeks ago
- Fitting Gaussian process models in PyMC3: Bayesian Mixer London 2017 seminar☆10May 7, 2018Updated 8 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆46Aug 14, 2024Updated 2 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,833Updated this week
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,243Oct 13, 2025Updated last year
- A sensitivity analysis package for causal effects☆12Mar 18, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆355Oct 17, 2024Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆86Dec 20, 2024Updated last year
- Replication materials for "Algorithmic decision making and the cost of fairness," by Corbett-Davies et al.☆12Jun 1, 2017Updated 9 years ago
- Uplift modeling and causal inference with machine learning algorithms☆6,035Oct 12, 2026Updated 2 weeks ago
- ☆206Mar 23, 2023Updated 3 years ago
- Library for doing both symbolic and numeric calculations for linear Structural Causal Models (SCM)☆14May 20, 2024Updated 2 years ago
- List of repositories administered by BC Stats (http://www.bcstats.gov.bc.ca/Home.aspx)☆11Jul 6, 2022Updated 4 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,505Oct 6, 2026Updated 3 weeks ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆752Nov 23, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- UPenn Talk about Julia and ML☆14Nov 14, 2014Updated 11 years ago
- In which I play with the ideas surrounding causality☆54Jul 23, 2022Updated 4 years ago
- Script to Download data from 2010 Brazilian census and save it as .csv files☆12Jul 31, 2018Updated 8 years ago
- Python package for causal inference using Bayesian structural time-series models.☆242Jul 30, 2020Updated 6 years ago
- Code repository for the paper : Causal thinking for decision making on Electronic Health Records: why and how☆25Nov 10, 2023Updated 2 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data☆24May 6, 2019Updated 7 years ago
- ☆11Nov 11, 2016Updated 9 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Jul 18, 2024Updated 2 years ago
- Repo for PyData 2018 tuorial☆12Oct 18, 2018Updated 8 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.
- Kaggle Amazon Competition☆17Jul 27, 2015Updated 11 years ago
- A Python package for modular causal inference analysis and model evaluations☆834May 26, 2026Updated 5 months ago
- Synthetic controls for micro-level data☆16Apr 25, 2025Updated last year
- Generative Adversarial Network to create synthetic time series☆23Jul 22, 2020Updated 6 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆14Feb 19, 2019Updated 7 years ago
- Materials for a proposed Causal Inference Tutorial session at SciPy 2023☆12Jul 8, 2023Updated 3 years ago
- A companion for the Causal Artificial Intelligence book.☆15Sep 24, 2025Updated last year