TheoLvs / causal-reinforcement-learning
Experiments on Causality & Reinforcement Learning
☆10Updated 4 years ago
Related projects: ⓘ
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆82Updated last year
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆58Updated 3 years ago
- Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions☆11Updated 2 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆47Updated 5 years ago
- Learning representations for RL in Healthcare under a POMDP assumption☆48Updated 3 years ago
- Reimplementation of NOTEARS in Tensorflow☆32Updated last year
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆267Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆68Updated 3 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated last month
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆121Updated 2 months ago
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆11Updated 3 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆29Updated 4 years ago
- Causal Discovery with Equal Variance Assumption☆9Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆50Updated 4 years ago
- Example causal datasets with consistent formatting and ground truth☆62Updated last year
- ☆35Updated 5 years ago
- List of python packages for causal inference☆17Updated 2 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
- A curated list of awesome work on causal inference, particularly in machine learning.☆96Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 3 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆78Updated 9 months ago
- Project on Causal Machine learning CS 7290☆16Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆53Updated 6 months ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 4 years ago
- Active Bayesian Causal Inference (Neurips'22)☆46Updated last month
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆63Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆86Updated last year
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆19Updated 2 years ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆74Updated 2 years ago
- Causal Discovery from Nonstationary/Heterogeneous Data.☆50Updated 4 years ago