arnaudscott / TARNetLinks
TARNet Model with tensorflow 2 API.
☆11Updated 8 months ago
Alternatives and similar repositories for TARNet
Users that are interested in TARNet are comparing it to the libraries listed below
Sorting:
- Counterfactual Regression☆25Updated 9 years ago
- ☆289Updated 3 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆106Updated 2 years ago
- 🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】☆150Updated 2 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆24Updated 2 years ago
- pytorch implementation of dragonnet☆47Updated 3 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆29Updated last year
- ☆34Updated 4 years ago
- 因果推理&AB实验相关论文小书库☆249Updated 2 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆19Updated 2 years ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆20Updated 2 years ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆87Updated last year
- ☆59Updated 3 years ago
- 4th Year project aiming to implement PC, FCI and RFCI algorithms in python☆14Updated 6 years ago
- ☆23Updated 3 months ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆37Updated 3 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆93Updated 3 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆99Updated 2 years ago
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆19Updated 3 years ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆19Updated last year
- ☆36Updated 4 months ago
- Implement PC algorithm in Python | PC 算法的 Python 实现☆119Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆154Updated last year
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆413Updated 9 months ago
- ☆36Updated 4 months ago
- An index of causal inference based recommendation algorithms (TOIS).☆63Updated last year
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆20Updated 3 years ago
- ☆42Updated 4 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆342Updated 2 weeks ago
- PU learning using spies method☆19Updated 6 years ago