amzn / credence-to-causal-estimation
A framework for generating complex and realistic datasets for use in evaluating causal inference methods.
☆29Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for credence-to-causal-estimation
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆57Updated last year
- ☆29Updated 5 years ago
- 💊 Comparing causality methods in a fair and just way.☆138Updated 4 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 3 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 2 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- List of python packages for causal inference☆17Updated 3 years ago
- ☆29Updated 6 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆57Updated 5 months ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆9Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆68Updated 3 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆78Updated 11 months ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 2 months ago
- Code for the paper "Temporally-Consistent Survival Analysis".☆23Updated last year
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆55Updated last year
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆71Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated last year
- Bayesian or-of-and☆34Updated 2 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆15Updated 3 years ago
- ☆42Updated 6 months ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- WIP predicted survival functions☆37Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆80Updated 6 years ago
- ☆15Updated 10 months ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆22Updated last year
- Python implementation of R package breakDown☆41Updated last year
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated 8 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆41Updated 2 months ago