CausalAI / what-ifLinks
教材 Causal Inference: What if 的编译和解读!
☆27Updated 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:
- ☆41Updated 4 years ago
- 把因果思维融入机器学习中☆81Updated 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】☆149Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆76Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆92Updated 2 years ago
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Updated 6 months ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆90Updated 3 years ago
- ☆18Updated 6 years ago
- pytorch implementation of dragonnet☆45Updated 3 years ago
- 因果推理&AB实验相关论文小书库☆241Updated 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 7 years ago
- Bayesian network structure learning☆18Updated 3 years ago
- ☆35Updated 2 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- 《跨越网络的门槛》☆25Updated 3 years ago
- Counterfactual Regression☆25Updated 9 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- DoWhy是用于因果推断的Python库,它支持对因果假设进行显式建模和验证。DoWhy基于用于因果推理的统一语言,结合了因果图模型和潜结果框架。☆14Updated 5 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆65Updated 5 years ago
- ☆72Updated 4 years ago
- ☆285Updated 3 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆31Updated 2 years ago
- ☆59Updated 3 years ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- 因果推断相关论文、书籍☆56Updated 4 years ago
- 计算传播学实验中心(中文网站)☆27Updated 5 months ago
- Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学 材料)☆108Updated last year
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Updated 5 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Updated 4 years ago