qingyuanzhao / Causal-Inference-Lectures
☆10Updated 2 years ago
Alternatives and similar repositories for Causal-Inference-Lectures:
Users that are interested in Causal-Inference-Lectures are comparing it to the libraries listed below
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆28Updated last year
- Causal Inference for Time Series Data (with CausalML Demo)☆13Updated last year
- ☆22Updated 3 years ago
- Code for Colangelo and Lee (2025)☆13Updated last month
- Code used in the causality course (401-4632-15) at ETH Zurich.☆22Updated 5 years ago
- Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)☆10Updated 7 months ago
- Materials Collection for Causal Inference☆45Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI☆110Updated last week
- ☆8Updated 3 years ago
- Repository for the ISU Causal Inference Working Group☆12Updated 11 months ago
- Causal Discovery with Equal Variance Assumption☆9Updated 2 years ago
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆16Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆11Updated this week
- Causal Inference in Python☆41Updated 2 months ago
- Econ5150@CUHK☆12Updated this week
- Design of Simulations using WGAN☆49Updated 2 years ago
- ☆29Updated 5 months ago
- ☆13Updated last year
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆12Updated last year
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated 8 months ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆160Updated 9 months ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 3 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated last year
- CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.☆15Updated 10 months ago
- Machine Learning for Economics☆19Updated last year
- difference-in-differences in Python☆100Updated last year
- A python package for causal inference in panels☆12Updated 2 weeks ago
- Paper Repository☆11Updated 2 years ago
- ☆29Updated last year