joaomacalos / causal_primerLinks
My answers to the study questions in the book "Causal inference in statistics: a primer" by Judea Pearl, Madelyn Glymour and Nicholas P. Jewell
☆14Updated 5 years ago
Alternatives and similar repositories for causal_primer
Users that are interested in causal_primer are comparing it to the libraries listed below
Sorting:
- A curated list of awesome work on causal inference, particularly in machine learning.☆105Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- ☆24Updated 3 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 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
- Policy learning via doubly robust empirical welfare maximization over trees☆81Updated 11 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆75Updated 4 years ago
- ❓y0 (pronounced "why not?") is for causal inference in Python☆51Updated this week
- Non-parametrics for Causal Inference☆47Updated 3 years ago
- Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*☆66Updated 5 years ago
- A python package for causal inference in panels☆13Updated 2 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 7 years ago
- ☆17Updated 5 years ago
- Code for blog posts.☆19Updated last year
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆70Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆141Updated 11 months ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆57Updated last year
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- ☆33Updated 2 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Updated 4 years ago
- Breast cancer prediction using causal Inference☆11Updated 3 years ago
- ☆95Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Machine learning based causal inference/uplift in Python☆60Updated last year
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago