CausalAI / what-ifLinks
教材 Causal Inference: What if 的编译和解读!
☆34Updated 5 years ago
Alternatives and similar repositories for what-if
Users that are interested in what-if are comparing it to the libraries listed below
Sorting:
- ☆42Updated 4 years ago
- 把因果思维融入机器学习中☆81Updated 6 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆94Updated 2 years ago
- Provides the SELF criteria to learn causal structure. Please cite "Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao. SELF: Structural Equ…☆16Updated 8 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
- EconML/CausalML KDD 2021 Tutorial☆167Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Updated 4 years ago
- pytorch implementation of dragonnet☆47Updated 3 years ago
- ☆72Updated 4 years ago
- ☆18Updated 6 years ago
- 因果推理&AB实验相关论文小书库☆249Updated 2 years ago
- 因果推断相关论文、书籍☆61Updated 4 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆93Updated 3 years ago
- Propensity score matching in Python 3☆27Updated 2 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆106Updated 2 years ago
- Counterfactual Regression☆25Updated 9 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆63Updated 5 years ago
- ☆289Updated 3 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆345Updated last year
- 计算传播学实验中心(中文网站)☆27Updated 8 months ago
- 本Repository为中国人民大学朝乐门老师开源课程——《数据科学导论》,对应教材为《数据科学理论与实践》☆108Updated 5 years ago
- ☆106Updated 5 years ago
- Bayesian network structure learning☆18Updated 3 years ago
- Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)☆109Updated last year
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆154Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Updated 9 months ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆32Updated 2 years ago
- Codes for my mathematical statistics course☆177Updated last month
- A (concise) curated list of awesome Causal Inference resources.☆255Updated 3 years ago