BiomedSciAI / causallibLinks
A Python package for modular causal inference analysis and model evaluations
☆785Updated 4 months ago
Alternatives and similar repositories for causallib
Users that are interested in causallib are comparing it to the libraries listed below
Sorting:
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆776Updated 2 months ago
- ☆498Updated 8 months ago
- DoubleML - Double Machine Learning in Python☆637Updated last month
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆532Updated last month
- A Python package for causal inference in quasi-experimental settings☆1,029Updated last week
- AutoML for causal inference.☆228Updated 8 months ago
- Python package for causal discovery based on LiNGAM.☆438Updated last month
- Repository with code and slides for a tutorial on causal inference.☆577Updated 5 years ago
- Causal Inference in Python☆571Updated 2 months ago
- Bayesian Additive Regression Trees For Python☆231Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆643Updated 7 months ago
- A data index for learning causality.☆475Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,191Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆734Updated 2 years ago
- [Experimental] Global causal discovery algorithms☆106Updated 3 weeks ago
- Data Efficient Decision Making☆247Updated 3 years ago
- A resource list for causality in statistics, data science and physics☆265Updated 3 weeks ago
- Causal Graphical Models in Python☆246Updated 2 years ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,441Updated last month
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,436Updated last month
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆335Updated 10 months ago
- ☆468Updated last year
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,318Updated 3 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,362Updated last year
- ☆205Updated 2 years ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- Makes algorithms/code in Tetrad available in Python via JPype☆83Updated 2 weeks ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,510Updated 2 weeks ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 4 months ago