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☆161Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI☆128Updated 4 months ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆64Updated last year
- Some notes on Causal Inference, with examples in python☆153Updated 5 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆331Updated 9 months ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆103Updated 3 months ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆22Updated 6 years ago
- Resources related to causality☆264Updated last year
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆143Updated last year
- python implementation of Peng Ding's "First Course in Causal Inference"☆171Updated last year
- Code and notebooks for my Medium blog posts☆127Updated last year
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 4 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 2 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- A Python package for causal inference using Synthetic Controls☆187Updated last year
- This course is an overview of applied causal inference.☆49Updated 2 months ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆70Updated 5 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated 3 months ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆142Updated last week
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 3 months ago
- ☆103Updated 4 years ago
- Causal Inference in Python☆44Updated 6 months ago
- Synthetic difference in differences for Python☆83Updated last year
- A curated list of awesome work on causal inference, particularly in machine learning.☆107Updated 4 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆113Updated 4 years ago
- Causal Inference in Python☆570Updated last month
- A (concise) curated list of awesome Causal Inference resources.☆240Updated 2 years ago
- Code for the Book Causal Inference in Python☆330Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆59Updated last year
- A data index for learning causality.☆472Updated last year