PacktPublishing / Causal-Inference-and-Discovery-in-PythonLinks
Causal Inference and Discovery in Python by Packt Publishing
☆898Updated 2 months ago
Alternatives and similar repositories for Causal-Inference-and-Discovery-in-Python
Users that are interested in Causal-Inference-and-Discovery-in-Python are comparing it to the libraries listed below
Sorting:
- Code for the Book Causal Inference in Python☆327Updated last year
- A curated list of causal inference libraries, resources, and applications.☆1,023Updated 3 months ago
- DoubleML - Double Machine Learning in Python☆614Updated this week
- A Python package for causal inference in quasi-experimental settings☆1,015Updated this week
- ☆495Updated 6 months ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,314Updated 3 years ago
- A Python package for modular causal inference analysis and model evaluations☆781Updated 3 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆767Updated 3 weeks ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆727Updated 2 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,000Updated 7 months ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆140Updated 11 months ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆330Updated 8 months ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,404Updated last week
- A resource list for causality in statistics, data science and physics☆265Updated last month
- Repository with code and slides for a tutorial on causal inference.☆576Updated 5 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆181Updated 2 months ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆526Updated this week
- Modern Time Series Forecasting with Python, published by Packt☆522Updated 2 months ago
- Python-centered read-along of Forecasting: Principles and Practice☆504Updated 9 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,183Updated this week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆641Updated 6 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆222Updated last week
- ☆534Updated last year
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,256Updated 3 months ago
- Interpretable Machine Learning with Python, published by Packt☆466Updated 2 years ago
- AutoML for causal inference.☆224Updated 6 months ago
- Code and notebooks for my Medium blog posts☆127Updated last year
- Causal Inference in Python☆569Updated 3 weeks ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆886Updated this week
- Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets …☆1Updated 10 months ago