DanielhCarranza / causai
Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making systems
☆13Updated 4 years ago
Alternatives and similar repositories for causai:
Users that are interested in causai are comparing it to the libraries listed below
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated 5 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…☆14Updated 4 years ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆33Updated 2 years ago
- This project introduces Causal AI and how it can drive business value.☆46Updated 7 months ago
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Unstructured Code with interesting analysis☆37Updated 6 months ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 2 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆20Updated 11 months ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated 2 months ago
- Distributional Random Forests (Cevid et al., 2020)☆43Updated last year
- State Space Estimation of Time Series Models in Python: Statsmodels☆44Updated 8 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated last week
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆22Updated this week
- ☆17Updated 5 years ago
- Synthetic difference in differences for Python☆77Updated last year
- Python tutorial on machine learning with time series for DSSGx 2020☆23Updated 4 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated last year
- Causal Inference in Python☆43Updated 3 months ago
- Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis☆11Updated 10 months ago
- Code for blog posts.☆19Updated last year
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆92Updated 3 weeks ago
- Materials Collection for Causal Inference☆45Updated 2 years ago
- Bayesian time series forecasting and decision analysis☆115Updated 2 years ago
- Fit Sparse Synthetic Control Models in Python☆82Updated last year
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- ☆24Updated 4 years ago