Ci2Lab / Applied_Causal_Inference_CourseLinks
This course is an overview of applied causal inference.
☆51Updated 4 months ago
Alternatives and similar repositories for Applied_Causal_Inference_Course
Users that are interested in Applied_Causal_Inference_Course are comparing it to the libraries listed below
Sorting:
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆152Updated 3 weeks ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆133Updated 6 months ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆107Updated 3 weeks ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 4 months ago
- ☆14Updated 7 months ago
- ☆33Updated last year
- Lecture Notes on Statistical Inference☆77Updated 11 months ago
- A resource list for causality in statistics, data science and physics☆266Updated last week
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 5 months ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 9 months ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆340Updated 11 months ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆24Updated last week
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- AutoML for causal inference.☆230Updated 9 months ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- Unstructured Code with interesting analysis☆37Updated 11 months ago
- Causal Inference in Python☆44Updated this week
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago
- Synthetic difference in differences for Python☆84Updated last year
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23Updated 6 years ago
- Machine Learning and Causal Inference taught by Brigham Frandsen☆210Updated 9 months ago
- Code and notebooks for my Medium blog posts☆130Updated last year
- Code for the Book Causal Inference in Python☆343Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- [Experimental] Global causal discovery algorithms☆108Updated this week
- difference-in-differences in Python☆105Updated last year