pymc-labs / CausalPyLinks
A Python package for causal inference in quasi-experimental settings
☆1,098Updated last week
Alternatives and similar repositories for CausalPy
Users that are interested in CausalPy are comparing it to the libraries listed below
Sorting:
- DoubleML - Double Machine Learning in Python☆705Updated this week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆662Updated last year
- A Python package for modular causal inference analysis and model evaluations☆809Updated 10 months ago
- AutoML for causal inference.☆236Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,511Updated this week
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,045Updated this week
- Examples of PyMC models, including a library of Jupyter notebooks.☆365Updated last week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆788Updated 2 months ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆602Updated 2 months ago
- ☆521Updated last year
- Combining tree-boosting with Gaussian process and mixed effects models☆655Updated this week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,238Updated this week
- Time should be taken seer-iously☆319Updated 2 years ago
- A resource list for causality in statistics, data science and physics☆267Updated last week
- Multiple Imputation with LightGBM in Python☆402Updated 3 months ago
- Causal Inference in Python☆576Updated 7 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,572Updated 2 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,430Updated last year
- Code for the Book Causal Inference in Python☆365Updated 2 years ago
- Causal Inference and Discovery in Python by Packt Publishing☆985Updated last month
- Python package for conformal prediction☆552Updated 4 months ago
- Machine learning with dataframes☆1,554Updated last week
- Extra blocks for scikit-learn pipelines.☆1,376Updated 2 weeks ago
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆738Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆728Updated last week
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162Updated last month
- An extension of XGBoost to probabilistic modelling☆689Updated last month
- A curated list of causal inference libraries, resources, and applications.☆1,094Updated last month
- ☆140Updated 3 weeks ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆643Updated last year