liangoy / WAIC2022Causal
☆10Updated last year
Alternatives and similar repositories for WAIC2022Causal:
Users that are interested in WAIC2022Causal are comparing it to the libraries listed below
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆76Updated last year
- ☆39Updated 3 years ago
- mtgbmcode☆170Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆15Updated 5 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】☆126Updated last year
- ☆33Updated 3 years ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆30Updated 3 years ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆59Updated 7 months ago
- 因果推理&AB实验相关论文小书库☆221Updated 2 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆73Updated 2 years ago
- WAIC 2022 Hackathon Causal Learning and Decision Optimization Challenge☆6Updated 2 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆24Updated 9 months ago
- A powerful tree-based uplift modeling system.☆29Updated last year
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆12Updated 9 months ago
- Build a python version causal inference model for Pcalg☆19Updated 5 years ago
- Counterfactual Regression☆23Updated 8 years ago
- ☆262Updated 2 years ago
- ☆19Updated 3 years ago
- YLearn, a pun of "learn why", is a python package for causal inference☆413Updated 6 months ago
- 3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs☆37Updated 2 years ago
- esmm model by tensorflow keras☆68Updated 3 years ago
- 利用lightgbm做(learning to rank)排序学习,包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model trainin…☆264Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆136Updated 8 months ago
- PAKDD AutoML challenge 2nd Feature Engineering Part☆71Updated 4 years ago
- pytorch implementation of dragonnet☆37Updated 2 years ago
- ☆62Updated 3 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 7 months ago
- The real-world Production Dataset from E-commerce platform Meituan☆22Updated 9 months ago
- OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, cau…☆71Updated last year
- Implement EGES by pytorch.☆18Updated 3 years ago