thanosvlo / Twin_Causal_NetsLinks
Estimating the probabilities of caution via deep monotonic twin networks
☆21Updated 3 years ago
Alternatives and similar repositories for Twin_Causal_Nets
Users that are interested in Twin_Causal_Nets 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 4 months ago
- ☆16Updated last year
- ☆25Updated 4 years ago
- Nonlinear Causal Discovery with Confounders☆21Updated 2 years ago
- A Bayesian model+algorithm for community detection in bipartite networks☆59Updated 5 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated last year
- ❓y0 (pronounced "why not?") is for causal inference in Python☆65Updated last week
- Python implementation of iterative-random-forests☆68Updated 2 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Updated 4 years ago
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆35Updated last year
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆12Updated 4 years ago
- Create sparse and accurate risk scoring systems!☆44Updated last year
- Python package for (conditional) independence testing and statistical functions related to causality.☆29Updated last week
- 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
- DynetLSM: latent space models for dynamic networks☆23Updated 3 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆20Updated 4 years ago
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- Causing: CAUsal INterpretation using Graphs☆60Updated last week
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆32Updated 2 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆155Updated 2 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆66Updated last year
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- Tools for causal discovery in R☆20Updated 9 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- ☆18Updated 4 years ago
- A deep-learning-based conditional independence test that works for big, high-dimensional data.☆14Updated 8 years ago
- Epidemiology analysis package☆150Updated 2 years ago