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:
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆340Updated last year
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- EconML/CausalML KDD 2021 Tutorial☆167Updated 2 years ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆142Updated 9 months ago
- Resources related to causality☆266Updated last year
- A curated list of awesome work on causal inference, particularly in machine learning.☆112Updated 4 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆110Updated this week
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆153Updated last year
- python implementation of Peng Ding's "First Course in Causal Inference"☆175Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Updated 8 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆159Updated last week
- 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☆192Updated last year
- A data index for learning causality.☆479Updated 2 years ago
- ☆105Updated 4 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆747Updated 3 years ago
- A (concise) curated list of awesome Causal Inference resources.☆250Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆54Updated 7 months ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆70Updated 5 years ago
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago
- This course is an overview of applied causal inference.☆55Updated 7 months ago
- Causal Inference in Python☆574Updated 6 months ago
- Code and notebooks for my Medium blog posts☆131Updated last year
- A resource list for causality in statistics, data science and physics☆267Updated 2 months ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23Updated 6 years ago
- List of python packages for causal inference☆17Updated 4 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆788Updated last month
- ☆39Updated 6 months ago