Chrisejorge / Causal-InferenceLinks
Materials Collection for Causal Inference
☆47Updated 2 years ago
Alternatives and similar repositories for Causal-Inference
Users that are interested in Causal-Inference are comparing it to the libraries listed below
Sorting:
- EconML/CausalML KDD 2021 Tutorial☆160Updated last year
- A curated list of awesome work on causal inference, particularly in machine learning.☆105Updated 4 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆165Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated last month
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆99Updated 2 months ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆63Updated last year
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆142Updated last year
- Causal Inference in Python☆43Updated 5 months ago
- Some notes on Causal Inference, with examples in python☆153Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 7 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆140Updated 10 months ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- Active Bayesian Causal Inference (Neurips'22)☆56Updated 10 months ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆122Updated 3 months ago
- Synthetic difference in differences for Python☆80Updated last year
- ☆33Updated 2 weeks ago
- This course is an overview of applied causal inference.☆49Updated 3 weeks ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated last month
- Resources related to causality☆265Updated last year
- ☆79Updated 4 years ago
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 10 months ago
- Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies☆80Updated 4 years ago
- Non-parametrics for Causal Inference☆47Updated 3 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆88Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last month
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆13Updated 4 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…☆14Updated 5 years ago
- List of python packages for causal inference☆17Updated 3 years ago