laurencium / Causalinference
Causal Inference in Python
☆565Updated 4 years ago
Alternatives and similar repositories for Causalinference:
Users that are interested in Causalinference are comparing it to the libraries listed below
- Repository with code and slides for a tutorial on causal inference.☆574Updated 5 years ago
- Some notes on Causal Inference, with examples in python☆152Updated 5 years ago
- DoubleML - Double Machine Learning in Python☆562Updated this week
- Causal Graphical Models in Python☆244Updated 2 years ago
- ☆283Updated last year
- A Python package for modular causal inference analysis and model evaluations☆761Updated this week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆754Updated 7 months ago
- A data index for learning causality.☆462Updated last year
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,297Updated 3 years ago
- Python package for causal inference using Bayesian structural time-series models.☆239Updated 4 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 3 years ago
- Working repository for Causal Tree and extensions☆437Updated 4 years ago
- ☆204Updated 2 years ago
- Tools for causal analysis☆1,072Updated last week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆348Updated last year
- Python port of CausalImpact R library☆283Updated 11 months ago
- Resources related to causality☆261Updated last year
- Bayesian Additive Regression Trees For Python☆223Updated last year
- AutoML for causal inference.☆220Updated 3 months ago
- A Python package for causal inference in quasi-experimental settings☆958Updated this week
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,164Updated 11 months ago
- A Python package for causal inference using Synthetic Controls☆181Updated last year
- Causal Effect Inference with Deep Latent-Variable Models☆334Updated 4 years ago
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆419Updated this week
- ☆465Updated 9 months ago
- ☆472Updated 3 months ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆62Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆698Updated 2 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆632Updated 2 months ago
- Python package for causal discovery based on LiNGAM.☆406Updated 2 weeks ago