anpwu / Causal4Application
☆23Updated 2 years ago
Alternatives and similar repositories for Causal4Application:
Users that are interested in Causal4Application are comparing it to the libraries listed below
- ☆18Updated 2 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆76Updated last year
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆71Updated 2 years ago
- ☆40Updated 5 years ago
- ☆26Updated 2 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 3 years ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆28Updated last month
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆15Updated last year
- ☆58Updated 2 years ago
- ☆26Updated 3 months ago
- ☆31Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆58Updated 4 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆133Updated 7 months ago
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆12Updated 3 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated last year
- ☆28Updated 4 months ago
- Counterfactual Regression☆23Updated 8 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆86Updated last year
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆20Updated 3 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆125Updated last year
- Causal Inference☆10Updated 4 years ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆24Updated 2 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 3 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆127Updated 5 months ago
- Disentangled gEnerative cAusal Representation (DEAR)☆57Updated 2 years ago
- ☆253Updated 2 years ago
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16Updated 2 years ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆49Updated 5 years ago