farazmah / dragonnet-pytorch
pytorch implementation of dragonnet
☆29Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for dragonnet-pytorch
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 3 months ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆84Updated last year
- EconML/CausalML KDD 2021 Tutorial☆162Updated last year
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆62Updated 8 months ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆28Updated 3 years ago
- ☆248Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆80Updated 6 years ago
- Counterfactual Regression☆24Updated 8 years ago
- ☆31Updated 2 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆65Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆128Updated 4 months ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆54Updated 4 years ago
- Code for Colangelo and Lee (2022)☆11Updated 5 months ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆67Updated 10 months ago
- ☆58Updated 2 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆18Updated last year
- 🛠 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】☆114Updated last year
- ☆19Updated 3 years ago
- Fixedeffectmodel: panel data modeling in Python☆78Updated 2 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆68Updated 2 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆123Updated last year
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆31Updated 2 years ago
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Updated 4 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 3 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆74Updated 3 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated last year
- Counterfactual Regression☆297Updated last year
- ☆37Updated 3 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago