PacktPublishing / Causal-Inference-and-Discovery-in-PythonLinks
Causal Inference and Discovery in Python by Packt Publishing
☆937Updated last month
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☆346Updated last year
- A curated list of causal inference libraries, resources, and applications.☆1,064Updated 6 months ago
- DoubleML - Double Machine Learning in Python☆665Updated this week
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆154Updated last month
- A Python package for causal inference in quasi-experimental settings☆1,046Updated last week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆785Updated 4 months ago
- A Python package for modular causal inference analysis and model evaluations☆795Updated 6 months ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,329Updated 3 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆739Updated 2 years ago
- ☆504Updated 10 months ago
- A resource list for causality in statistics, data science and physics☆266Updated 3 weeks ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆341Updated last year
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,093Updated last month
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆548Updated this week
- Practical Guide to Applied Conformal Prediction, published by Packt☆192Updated last month
- ☆553Updated last year
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆250Updated 2 weeks ago
- AutoML for causal inference.☆231Updated 10 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆654Updated 9 months ago
- A Python package for causal inference using Synthetic Controls☆192Updated last year
- Interpretable Machine Learning with Python, published by Packt☆474Updated last month
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆107Updated last month
- Notebooks for Applied Causal Inference Powered by ML and AI☆133Updated 7 months ago
- Causal Inference in Python☆573Updated 4 months ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,478Updated last week
- Python-centered read-along of Forecasting: Principles and Practice☆509Updated last month
- Code and notebooks for my Medium blog posts☆129Updated last year
- Compendium of free ML reading resources☆407Updated last month
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆960Updated last week