kyunghyuncho / 2024-causal-inference-machine-learningLinks
☆27Updated last year
Alternatives and similar repositories for 2024-causal-inference-machine-learning
Users that are interested in 2024-causal-inference-machine-learning are comparing it to the libraries listed below
Sorting:
- A curated list of awesome work on causal inference, particularly in machine learning.☆108Updated 4 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆80Updated 4 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago
- ☆190Updated 2 years ago
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23Updated 6 years ago
- ☆24Updated 4 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
- ☆81Updated 5 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆62Updated last year
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆26Updated 3 years ago
- ☆40Updated 6 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 2 years ago
- CSuite: A Suite of Benchmark Datasets for Causality☆76Updated 2 years ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 8 months ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆31Updated 2 years ago
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- ☆22Updated 2 years ago
- ☆24Updated 2 years ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆21Updated 3 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- 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
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆252Updated 2 weeks ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Code for the paper "Local Causal Discovery for Estimating Causal Effects".☆11Updated last year