Ci2Lab / Applied_Causal_Inference_CourseLinks
This course is an overview of applied causal inference.
☆49Updated 2 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.☆143Updated last week
- Notebooks for Applied Causal Inference Powered by ML and AI☆128Updated 4 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 2 months ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆103Updated 3 months ago
- Lecture Notes on Statistical Inference☆76Updated 9 months ago
- A resource list for causality in statistics, data science and physics☆265Updated last week
- ☆33Updated 10 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 7 months ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 3 months ago
- ☆14Updated 5 months ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆22Updated last week
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- Causal Inference in Python☆44Updated 6 months ago
- Code and notebooks for my Medium blog posts☆127Updated last year
- Unstructured Code with interesting analysis☆37Updated 9 months ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆173Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- AutoML for causal inference.☆227Updated 7 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆94Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆333Updated 9 months ago
- ☆9Updated 3 years ago
- Distributional Random Forests (Cevid et al., 2020)☆44Updated 2 years ago
- Synthetic difference in differences for Python☆83Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆59Updated last year
- Materials Collection for Causal Inference☆47Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆51Updated 4 years ago
- [Experimental] Global causal discovery algorithms☆106Updated 2 weeks ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated last month
- Examples of conformal prediction. Manual calculation, and using the MAPIE package.☆20Updated last year