pymc-labs / CausalPyLinks
A Python package for causal inference in quasi-experimental settings
☆997Updated this week
Alternatives and similar repositories for CausalPy
Users that are interested in CausalPy are comparing it to the libraries listed below
Sorting:
- A Python package for modular causal inference analysis and model evaluations☆779Updated last month
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆638Updated 4 months ago
- DoubleML - Double Machine Learning in Python☆594Updated this week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,156Updated last week
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆862Updated this week
- Time should be taken seer-iously☆316Updated 2 years ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆325Updated 2 weeks ago
- AutoML for causal inference.☆221Updated 5 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,322Updated 11 months ago
- Causal Inference in Python☆568Updated 4 years ago
- A resource list for causality in statistics, data science and physics☆264Updated last week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆763Updated 10 months ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆517Updated last week
- ☆483Updated 5 months ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,310Updated 3 years ago
- ☆525Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,387Updated last week
- Extra blocks for scikit-learn pipelines.☆1,335Updated last month
- Repository with code and slides for a tutorial on causal inference.☆575Updated 5 years ago
- Python port of CausalImpact R library☆286Updated last year
- A high-performance implementation of Wilkinson formulas for Python.☆391Updated 4 months ago
- Combining tree-boosting with Gaussian process and mixed effects models☆607Updated this week
- Data Efficient Decision Making☆246Updated 2 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆2,960Updated 5 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,461Updated 2 months ago
- ☆467Updated 11 months ago
- A curated list of causal inference libraries, resources, and applications.☆992Updated last month
- Machine learning with dataframes☆1,398Updated this week
- Causal Graphical Models in Python☆246Updated 2 years ago
- Code for the Book Causal Inference in Python☆313Updated last year