pymc-labs / CausalPyLinks
A Python package for causal inference in quasi-experimental settings
☆1,083Updated this 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☆694Updated this week
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆659Updated 11 months ago
- A Python package for modular causal inference analysis and model evaluations☆803Updated 9 months ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆590Updated last month
- AutoML for causal inference.☆233Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,503Updated this week
- BAyesian Model-Building Interface (Bambi) in Python.☆1,233Updated this week
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,018Updated this week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆788Updated last month
- Examples of PyMC models, including a library of Jupyter notebooks.☆361Updated last week
- ☆520Updated last year
- A resource list for causality in statistics, data science and physics☆267Updated 2 months ago
- Time should be taken seer-iously☆318Updated 2 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,418Updated last year
- Causal Inference in Python☆574Updated 6 months ago
- Machine learning with dataframes☆1,541Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,563Updated last month
- Combining tree-boosting with Gaussian process and mixed effects models☆652Updated 3 weeks ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆723Updated this week
- Extra blocks for scikit-learn pipelines.☆1,374Updated last month
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,028Updated 7 months ago
- Multiple Imputation with LightGBM in Python☆403Updated 2 months ago
- Bayesian Additive Regression Trees For Python☆230Updated 2 years ago
- Python package for conformal prediction☆549Updated 3 months 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…☆733Updated this week
- Causal Graphical Models in Python☆250Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆641Updated last year
- An extension of XGBoost to probabilistic modelling☆681Updated last month
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,205Updated 3 months ago
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago