DeekshaD / causalML-lecturenotesLinks
Lecture notes for the Causality in Machine Learning course
☆15Updated 6 years ago
Alternatives and similar repositories for causalML-lecturenotes
Users that are interested in causalML-lecturenotes 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…☆330Updated 8 months ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆64Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆729Updated 2 years ago
- Working repository for Causal Tree and extensions☆442Updated 3 months ago
- A Python package for causal inference using Synthetic Controls☆185Updated last year
- Causal Inference in Python☆569Updated 3 weeks ago
- DoubleML - Double Machine Learning in Python☆614Updated last week
- A data index for learning causality.☆471Updated last year
- A curated list of causal inference libraries, resources, and applications.☆1,023Updated 3 months ago
- Repository with code and slides for a tutorial on causal inference.☆576Updated 5 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆767Updated 3 weeks ago
- EconML/CausalML KDD 2021 Tutorial☆160Updated last year
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆101Updated 3 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆142Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated last week
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 4 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 4 years ago
- Synthetic difference in differences for Python☆81Updated last year
- Code for the Book Causal Inference in Python☆327Updated last year
- Resources related to causality☆265Updated last year
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,314Updated 3 years ago
- ☆103Updated 4 years ago
- ☆236Updated 2 years ago
- Some notes on Causal Inference, with examples in python☆153Updated 5 years ago
- A Python package for modular causal inference analysis and model evaluations☆781Updated 3 months ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆127Updated 3 months ago
- AutoML for causal inference.☆224Updated 6 months ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆105Updated 4 years ago
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆13Updated 5 months ago