BiomedSciAI / causallib
A Python package for modular causal inference analysis and model evaluations
☆735Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for causallib
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆735Updated 3 months ago
- DoubleML - Double Machine Learning in Python☆501Updated this week
- ☆442Updated last month
- Causal Inference in Python☆549Updated 4 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆679Updated 2 years ago
- A data index for learning causality.☆441Updated last year
- A Python package for causal inference in quasi-experimental settings☆917Updated this week
- Repository with code and slides for a tutorial on causal inference.☆565Updated 5 years ago
- AutoML for causal inference.☆202Updated 2 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,128Updated 7 months ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,193Updated 2 weeks ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,365Updated 7 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆617Updated last month
- Causal Graphical Models in Python☆240Updated last year
- Python package for causal discovery based on LiNGAM.☆380Updated this week
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆304Updated last month
- ☆464Updated 5 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,244Updated 4 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆341Updated last year
- A resource list for causality in statistics, data science and physics☆255Updated this week
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆480Updated 3 weeks ago
- Data Efficient Decision Making☆240Updated 2 years ago
- Python implementation of the rulefit algorithm☆411Updated last year
- ☆204Updated last year
- Bayesian Additive Regression Trees For Python☆219Updated 11 months ago
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆480Updated 3 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆605Updated 6 months ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,348Updated 2 weeks ago
- Resources related to causality☆257Updated 9 months ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,261Updated 2 years ago