almost-matching-exactly / MALTSLinks
☆16Updated last year
Alternatives and similar repositories for MALTS
Users that are interested in MALTS are comparing it to the libraries listed below
Sorting:
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated last month
- ☆24Updated 3 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated 3 months ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 9 months ago
- Experiments with experimental rule-based models to go along with imodels.☆17Updated 3 months ago
- A python package for semi-structured deep distributional regression☆22Updated 2 years ago
- Simulations for predictive model selection in causal inference☆13Updated 8 months ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- Tools for causal discovery in R☆19Updated 6 months ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 4 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated last year
- ☆11Updated 7 years ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆19Updated 3 years ago
- A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.☆56Updated last year
- Epidemiology analysis package☆149Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 4 months ago
- Code for blog posts.☆20Updated last year
- Tensorflow 2 implementation of Causal-BERT☆71Updated last year
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆32Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Breast cancer prediction using causal Inference☆11Updated 4 years ago