AlxndrMlk / causality
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
☆136Updated 6 months ago
Alternatives and similar repositories for causality:
Users that are interested in causality are comparing it to the libraries listed below
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆91Updated last month
- Practical Guide to Applied Conformal Prediction, published by Packt☆154Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆54Updated 6 months ago
- A resource list for causality in statistics, data science and physics☆262Updated last week
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆80Updated 2 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆49Updated 2 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆87Updated 9 months ago
- [Experimental] Global causal discovery algorithms☆97Updated last week
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆42Updated last year
- A Causal AI package for causal graphs.☆55Updated last month
- Repository for the explanation method Calibrated Explanations (CE)☆61Updated this week
- ☆40Updated 2 years ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆143Updated 5 months ago
- Materials for conference talks and workshops☆31Updated last year
- Code for the Book Causal Inference in Python☆286Updated last year
- Conformal Anomaly Detection☆41Updated this week
- Notebooks for Applied Causal Inference Powered by ML and AI☆102Updated last week
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆19Updated 10 months ago
- ☆47Updated 2 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆200Updated last year
- AutoML for causal inference.☆215Updated 2 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆91Updated this week
- Materials Collection for Causal Inference☆43Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last year
- Lecture Notes on Statistical Inference☆75Updated 4 months ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆49Updated 3 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆166Updated 9 months ago
- Methods for online conformal prediction.☆109Updated 3 weeks ago
- This course is an overview of applied causal inference.☆42Updated 4 months ago
- DoubleML - Double Machine Learning in Python☆549Updated this week